Triple
T17803166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinshan District |
E444485
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Jinshan Old Street |
—
|
NE NERFINISHED |
How this triple was built (3 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: Jinshan Old Street | Statement: [Jinshan District, hasAttraction, Jinshan Old Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jinshan Old Street Context triple: [Jinshan District, hasAttraction, Jinshan Old Street]
-
A.
Jiading Old Street
Jiading Old Street is a historic commercial street in Shanghai known for its traditional architecture, local snacks, and preserved cultural heritage.
-
B.
Qibao Old Street
Qibao Old Street is a historic, canal-side pedestrian street in Shanghai known for its traditional architecture, temples, street food, and preserved old-town atmosphere.
-
C.
Jinli Ancient Street
Jinli Ancient Street is a famous historic pedestrian street in Chengdu known for its traditional Sichuan architecture, local snacks, handicrafts, and vibrant cultural performances.
-
D.
Tucheng Old Street
Tucheng Old Street is a historic commercial street in New Taipei, Taiwan, known for its traditional architecture, local snacks, and preserved old-town atmosphere.
-
E.
Jincheng Old Street
Jincheng Old Street is a historic commercial street in Jincheng Township, Kinmen, known for its traditional architecture, shops, and preserved cultural atmosphere.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jinshan Old Street Target entity description: Jinshan Old Street is a historic commercial street in New Taipei City, Taiwan, known for its traditional architecture, local snacks, and nostalgic small-town atmosphere.
-
A.
Jiading Old Street
Jiading Old Street is a historic commercial street in Shanghai known for its traditional architecture, local snacks, and preserved cultural heritage.
-
B.
Qibao Old Street
Qibao Old Street is a historic, canal-side pedestrian street in Shanghai known for its traditional architecture, temples, street food, and preserved old-town atmosphere.
-
C.
Jinli Ancient Street
Jinli Ancient Street is a famous historic pedestrian street in Chengdu known for its traditional Sichuan architecture, local snacks, handicrafts, and vibrant cultural performances.
-
D.
Tucheng Old Street
Tucheng Old Street is a historic commercial street in New Taipei, Taiwan, known for its traditional architecture, local snacks, and preserved old-town atmosphere.
-
E.
Jincheng Old Street
Jincheng Old Street is a historic commercial street in Jincheng Township, Kinmen, known for its traditional architecture, shops, and preserved cultural atmosphere.
- F. None of above. chosen
Provenance (2 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4880171608190be2088c7a387bfb7 |
completed | April 19, 2026, 7:45 a.m. |
Created at: April 10, 2026, 10:13 a.m.