Triple
T22384819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lianjiang County |
E553367
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Lianjiang Town
Lianjiang Town is the administrative and economic center of Lianjiang County in China.
|
E1534849
|
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: Lianjiang Town | Statement: [Lianjiang County, capital, Lianjiang Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lianjiang Town Context triple: [Lianjiang County, capital, Lianjiang Town]
-
A.
Lianjiang County
Lianjiang County is a coastal county under the administration of Fuzhou in Fujian Province, China, known for its maritime economy and proximity to Taiwan-controlled Matsu Islands.
-
B.
Luojing Town
Luojing Town is a suburban township-level division of Shanghai, China, situated within the municipality’s northern Baoshan District.
-
C.
Pujiang Town
Pujiang Town is a suburban township in Shanghai, China, known for its residential communities and connectivity via the Pujiang Line of the city’s metro system.
-
D.
Yingshang Town
Yingshang Town is the main urban and political hub of Yingshang County in Anhui Province, China.
-
E.
Jishi Town
Jishi Town is the administrative and economic center of Xunhua Salar Autonomous County in Qinghai Province, 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: Lianjiang Town Triple: [Lianjiang County, capital, Lianjiang Town]
Generated description
Lianjiang Town is the administrative and economic center of Lianjiang County in China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lianjiang Town Target entity description: Lianjiang Town is the administrative and economic center of Lianjiang County in China.
-
A.
Lianjiang County
Lianjiang County is a coastal county under the administration of Fuzhou in Fujian Province, China, known for its maritime economy and proximity to Taiwan-controlled Matsu Islands.
-
B.
Luojing Town
Luojing Town is a suburban township-level division of Shanghai, China, situated within the municipality’s northern Baoshan District.
-
C.
Pujiang Town
Pujiang Town is a suburban township in Shanghai, China, known for its residential communities and connectivity via the Pujiang Line of the city’s metro system.
-
D.
Yingshang Town
Yingshang Town is the main urban and political hub of Yingshang County in Anhui Province, China.
-
E.
Jishi Town
Jishi Town is the administrative and economic center of Xunhua Salar Autonomous County in Qinghai Province, 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582e58dc8190a2ad6b10c9d1f951 |
completed | April 29, 2026, 1 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9bc28fc81908967105a7a34903e |
completed | May 18, 2026, 10:28 a.m. |
| NEDg | Description generation | batch_6a0aedd061408190a25b6b1773e6610a |
completed | May 18, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aee8497b881909019717c6b9b4888 |
completed | May 18, 2026, 10:48 a.m. |
Created at: April 16, 2026, 8:45 p.m.