Triple
T15645520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhonghe–Xinlu line |
E376165
|
entity |
| Predicate | connectsWithLine |
P845
|
FINISHED |
| Object | Wenhu line |
E377171
|
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: Wenhu line | Statement: [Zhonghe–Xinlu line, connectsWithLine, Wenhu line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wenhu line Context triple: [Zhonghe–Xinlu line, connectsWithLine, Wenhu line]
-
A.
Wenhu line
chosen
The Wenhu line is a driverless, medium-capacity rapid transit line in the Taipei Metro system that connects key districts across Taipei and New Taipei City.
-
B.
Yanfang Line
Yanfang Line is a suburban rapid transit line of the Beijing Subway serving the southwestern outskirts of the city.
-
C.
Xijiao Line
The Xijiao Line is a light rail transit line in Beijing that primarily serves the city’s western suburban areas, including university and technology districts.
-
D.
Yangluo Line
The Yangluo Line is a rapid transit line within the Wuhan Metro system serving the Yangluo area and connecting it to the broader urban network.
-
E.
Liuohe Line
The Liuohe Line is a regional railway branch in Taiwan that connects local communities to the main Taiwan Railways 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_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_69ff908b1d6c819086441305b55f81fb |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 4:15 a.m.