Triple
T15476451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taoyuan Airport MRT |
E376791
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Taishan Guihe Station |
E1159375
|
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: Taishan Guihe Station | Statement: [Taoyuan Airport MRT, hasStation, Taishan Guihe Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taishan Guihe Station Context triple: [Taoyuan Airport MRT, hasStation, Taishan Guihe Station]
-
A.
Taishan Station
chosen
Taishan Station is a metro station on the Taoyuan Airport MRT line serving the Taishan area in New Taipei, Taiwan.
-
B.
Tiangongyuan station
Tiangongyuan station is a southern terminus station on Beijing's Subway network, serving as a key endpoint for Line 4.
-
C.
Huangsha Station
Huangsha Station is a metro station in Guangzhou, China, serving as part of the city's Guangzhou Metro rapid transit network.
-
D.
Hongqihegou Station
Hongqihegou Station is a major interchange station on the Chongqing Metro system in Chongqing, China, serving as an important hub for passenger transfers.
-
E.
Tiantongyuan station
Tiantongyuan station is a subway station in Beijing, China, serving the northern residential area of Tiantongyuan on the city's metro network.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f88a5dc8190a2d7830748e29180 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff36595bfc8190a0d60b3cb875ccc5 |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:34 a.m.