Triple
T2942306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tláhuac Metro station |
E79415
|
entity |
| Predicate | line |
P1293
|
FINISHED |
| Object | Line 12 |
E100154
|
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 12 | Statement: [Tláhuac Metro station, line, Line 12]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 12 Context triple: [Tláhuac Metro station, line, Line 12]
-
A.
Line 12
chosen
Line 12 is a major Mexico City Metro route known for being one of the system’s newest and most modern lines, connecting southeastern districts across a long east–west corridor.
-
B.
Line 12
Line 12 is a planned or lesser-known route within the Barcelona Metro network intended to expand urban rail connectivity in the metropolitan area.
-
C.
Line 12
Line 12 is a rapid transit line of the Shanghai Metro system that runs east–west across the city, connecting several key commercial and residential districts.
-
D.
Line 13
Line 13 is a major rapid transit route in the Shanghai Metro system that serves key urban districts and supports heavy commuter traffic across the city.
-
E.
Line 13
Line 13 is a suburban loop line of the Beijing Subway that serves the northern part of the city and connects several major transfer stations.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9870e5d08190b3b277ba823fe6a1 |
completed | March 8, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b08689ec3481909d9f039069ff19c7 |
completed | March 10, 2026, 9 p.m. |
Created at: March 8, 2026, 2:56 p.m.