Triple
T18383267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beitucheng station |
E446509
|
entity |
| Predicate | locatedOnRoad |
P20522
|
FINISHED |
| Object |
Beitucheng West Road
Beitucheng West Road is a street in Beijing, China, known for serving the Beitucheng subway station area.
|
E1321642
|
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: Beitucheng West Road | Statement: [Beitucheng station, locatedOnRoad, Beitucheng West Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beitucheng West Road Context triple: [Beitucheng station, locatedOnRoad, Beitucheng West Road]
-
A.
Changshou Road
Changshou Road is a major thoroughfare in Shanghai, China, known for its dense commercial activity and urban residential neighborhoods within the central city.
-
B.
Linping Road
Linping Road is a station on Shanghai’s Metro system, serving passengers on Line 4 in the city’s urban rail network.
-
C.
Zhuguang Road
Zhuguang Road is a station on Shanghai's Metro network serving Line 17 in the western part of the city.
-
D.
Zhichun Road
Zhichun Road is a major thoroughfare in Beijing, China, known for its location in the city’s technology and education district near several universities and tech companies.
-
E.
Lancun Road
Lancun Road is a Shanghai Metro interchange station serving multiple lines in the Pudong New Area of Shanghai, China.
- 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: Beitucheng West Road Triple: [Beitucheng station, locatedOnRoad, Beitucheng West Road]
Generated description
Beitucheng West Road is a street in Beijing, China, known for serving the Beitucheng subway station area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beitucheng West Road Target entity description: Beitucheng West Road is a street in Beijing, China, known for serving the Beitucheng subway station area.
-
A.
Changshou Road
Changshou Road is a major thoroughfare in Shanghai, China, known for its dense commercial activity and urban residential neighborhoods within the central city.
-
B.
Linping Road
Linping Road is a station on Shanghai’s Metro system, serving passengers on Line 4 in the city’s urban rail network.
-
C.
Zhuguang Road
Zhuguang Road is a station on Shanghai's Metro network serving Line 17 in the western part of the city.
-
D.
Zhichun Road
Zhichun Road is a major thoroughfare in Beijing, China, known for its location in the city’s technology and education district near several universities and tech companies.
-
E.
Lancun Road
Lancun Road is a Shanghai Metro interchange station serving multiple lines in the Pudong New Area of Shanghai, China.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179c931c8190b1c7c8284f42f7b7 |
completed | April 19, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d782cb54819091b847cdeb98ed5c |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d8adc00c81908ca0a4825a2bcea1 |
completed | May 13, 2026, 1:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03da59c1b081908d9488233c611586 |
completed | May 13, 2026, 1:56 a.m. |
Created at: April 10, 2026, 10:45 a.m.