Triple
T9721500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Metro Line 15 |
E235482
|
entity |
| Predicate | railwaySign |
P50536
|
FINISHED |
| Object | Line 15 |
E210846
|
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: Line 15 | Statement: [Shanghai Metro Line 15, railwaySign, Line 15]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 15 Context triple: [Shanghai Metro Line 15, railwaySign, Line 15]
-
A.
Line 15
Line 15 is a rapid transit line of the Beijing Subway system serving northern parts of the city with both urban and suburban stations.
-
B.
Line 15
chosen
Line 15 is a rapid transit line of the Shanghai Metro system serving various districts in Shanghai, China.
-
C.
Line 16
Line 16 is a rapid transit line of the Beijing Subway system serving parts of the city with modern, high-capacity metro service.
-
D.
Line 16
Line 16 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China.
-
E.
Line 16
Line 16 is a suburban rapid transit line of the Shanghai Metro that connects central Shanghai with the southeastern outskirts, including the Lingang area.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e42ce948190b52791b27c4456dc |
completed | April 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fa130548190ae729487b90fa8a7 |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:20 p.m.