Triple
T22861947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guanggu Square Station |
E566946
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Guanggu commercial and technology district
Guanggu commercial and technology district is a major high-tech and business hub in Wuhan, China, known for its concentration of technology companies, research institutions, and extensive commercial facilities.
|
E1558780
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Guanggu commercial and technology district | Statement: [Guanggu Square Station, locatedIn, Guanggu commercial and technology district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guanggu commercial and technology district Context triple: [Guanggu Square Station, locatedIn, Guanggu commercial and technology district]
-
A.
Hongqiao Business District
Hongqiao Business District is a major commercial and transportation hub in western Shanghai, integrating offices, retail, hotels, and convention facilities around the city’s Hongqiao transport hub.
-
B.
Luohu commercial district
Luohu commercial district is a major shopping and business hub in Shenzhen, known for its bustling malls, markets, and proximity to the Hong Kong border.
-
C.
Chunxi Road commercial district
Chunxi Road commercial district is a major shopping and entertainment hub in downtown Chengdu, known for its dense concentration of retail stores, restaurants, and vibrant pedestrian streets.
-
D.
Dongmen Commercial Area
Dongmen Commercial Area is one of Shenzhen’s oldest and busiest shopping districts, known for its dense network of pedestrian streets, bargain retail shops, and vibrant street food scene.
-
E.
Huaihai Road commercial district
Huaihai Road commercial district is a major upscale shopping and entertainment area in central Shanghai, known for its fashionable boutiques, department stores, and vibrant urban atmosphere.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Guanggu commercial and technology district Triple: [Guanggu Square Station, locatedIn, Guanggu commercial and technology district]
Generated description
Guanggu commercial and technology district is a major high-tech and business hub in Wuhan, China, known for its concentration of technology companies, research institutions, and extensive commercial facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guanggu commercial and technology district Target entity description: Guanggu commercial and technology district is a major high-tech and business hub in Wuhan, China, known for its concentration of technology companies, research institutions, and extensive commercial facilities.
-
A.
Hongqiao Business District
Hongqiao Business District is a major commercial and transportation hub in western Shanghai, integrating offices, retail, hotels, and convention facilities around the city’s Hongqiao transport hub.
-
B.
Luohu commercial district
Luohu commercial district is a major shopping and business hub in Shenzhen, known for its bustling malls, markets, and proximity to the Hong Kong border.
-
C.
Chunxi Road commercial district
Chunxi Road commercial district is a major shopping and entertainment hub in downtown Chengdu, known for its dense concentration of retail stores, restaurants, and vibrant pedestrian streets.
-
D.
Dongmen Commercial Area
Dongmen Commercial Area is one of Shenzhen’s oldest and busiest shopping districts, known for its dense network of pedestrian streets, bargain retail shops, and vibrant street food scene.
-
E.
Huaihai Road commercial district
Huaihai Road commercial district is a major upscale shopping and entertainment area in central Shanghai, known for its fashionable boutiques, department stores, and vibrant urban atmosphere.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17efcc1308190a95d10e431295ca2 |
completed | April 29, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae8d7814819090b529ce8d612e44 |
completed | May 19, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a0baf96f71c8190b1c0ee09d1fbde19 |
completed | May 19, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bb0d8a2f0819084161d3a09cfa1ae |
completed | May 19, 2026, 12:37 a.m. |
Created at: April 17, 2026, 3:37 p.m.