Triple
T15645494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhonghe–Xinlu line |
E376165
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Dongmen station |
E1231683
|
NE FINISHED |
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: Dongmen station | Statement: [Zhonghe–Xinlu line, hasStation, Dongmen station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dongmen station Context triple: [Zhonghe–Xinlu line, hasStation, Dongmen station]
-
A.
Dongmen Station
chosen
Dongmen Station is a key Taipei Metro interchange hub connecting multiple subway lines in central Taipei, Taiwan.
-
B.
Dongsi station
Dongsi station is a Beijing Subway interchange station in central Beijing that serves both Line 5 and Line 6.
-
C.
Chunxi Road Station
Chunxi Road Station is a major metro station in Chengdu, China, providing access to the popular commercial and shopping district around Chunxi Road.
-
D.
Xintiandi station
Xintiandi station is a major Shanghai Metro interchange located near the popular Xintiandi entertainment and shopping district.
-
E.
Dongdan Station
Dongdan Station is a major Beijing Subway interchange station serving as a key transfer point between central city lines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed5b8b081908d7127964eed3b09 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01953c493c819084850ab8e7f0d261 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 4:15 a.m.