Triple
T15645239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TRTS |
E376160
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object | Zhonghe–Xinlu Line |
E376165
|
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: Zhonghe–Xinlu Line | Statement: [TRTS, hasLine, Zhonghe–Xinlu Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhonghe–Xinlu Line Context triple: [TRTS, hasLine, Zhonghe–Xinlu Line]
-
A.
Zhonghe–Xinlu line
chosen
The Zhonghe–Xinlu line is a major rapid transit route in the Taipei Metro system that connects central Taipei with the Zhonghe and Xinzhuang/Luzhou districts.
-
B.
Liuohe Line
The Liuohe Line is a regional railway branch in Taiwan that connects local communities to the main Taiwan Railways network.
-
C.
Pujiang Line
The Pujiang Line is an automated, medium-capacity metro line serving the Pujiang area in Shanghai as part of the Shanghai Metro system.
-
D.
Yizhuang Line
The Yizhuang Line is a rapid transit line of the Beijing Subway system serving the Yizhuang economic and technological development area in southeastern Beijing.
-
E.
Fangshan Line
Fangshan Line is a rapid transit line in the Beijing Subway system serving the southwestern Fangshan District and connecting it with Beijing’s urban core.
- 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_69e04ed400ec8190a14a9f7cf3092865 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f4e558481909a39fdc5d104994a |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:15 a.m.