Triple
T4682571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hefei Metro |
E103838
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object | Hefei Metro Line 2 |
E103838
|
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: Hefei Metro Line 2 | Statement: [Hefei Metro, hasLine, Hefei Metro Line 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hefei Metro Line 2 Context triple: [Hefei Metro, hasLine, Hefei Metro Line 2]
-
A.
Hefei Metro
chosen
Hefei Metro is the rapid transit system serving Hefei, the capital city of China’s Anhui Province, providing urban rail transportation across the metropolitan area.
-
B.
Nanchang Metro
Nanchang Metro is the rapid transit system serving the city of Nanchang in Jiangxi Province, China.
-
C.
Wuhan Metro Line 2
Wuhan Metro Line 2 is a major east–west rapid transit line in Wuhan, China, notable for being the city’s first cross-Yangtze River metro line and a key backbone of its urban rail network.
-
D.
Zhonghe–Xinlu line
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.
-
E.
Huainan railway
Huainan railway is a major rail line in Anhui Province, China, connecting key cities such as Hefei and facilitating regional passenger and freight transport.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd637fedd0819097f59734a9f9a01f |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be1056abf081908aadaea8d9f22860 |
completed | March 21, 2026, 3:28 a.m. |
Created at: March 20, 2026, 1:16 p.m.