Triple
T18516323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 11 (Shenzhen Metro) |
E452472
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Chegongmiao Station |
—
|
NE NERFINISHED |
How this triple was built (2 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: Chegongmiao Station | Statement: [Line 11 (Shenzhen Metro), hasStation, Chegongmiao Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chegongmiao Station Context triple: [Line 11 (Shenzhen Metro), hasStation, Chegongmiao Station]
-
A.
Chegongmiao station
chosen
Chegongmiao station is a major interchange station in Shenzhen, China, serving multiple Shenzhen Metro lines and connecting key commercial and business districts.
-
B.
Qiyan station
Qiyan station is a metro station on the Taipei Metro system in Taipei, Taiwan.
-
C.
Xierqi Station
Xierqi Station is a major interchange station on the Beijing Subway, serving as a key hub for commuters in the city’s northern high-tech and residential areas.
-
D.
Ganjiakou Station
Ganjiakou Station is an underground metro station in Beijing that serves passengers on the city's Line 16 subway route.
-
E.
Guomao station
Guomao station is a major interchange hub on the Beijing Subway, serving the central business district and connecting key metro lines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5338a628c81909db08ae7dc94f59a |
completed | April 19, 2026, 7:56 p.m. |
Created at: April 10, 2026, 11:36 a.m.