Triple
T3715852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D Line |
E81527
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | J Line |
E215741
|
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: J Line | Statement: [D Line, connectsWith, J Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J Line Context triple: [D Line, connectsWith, J Line]
-
A.
J Line
chosen
The J Line is a bus rapid transit route in the Los Angeles Metro system that provides high-frequency, limited-stop service across key corridors in the region.
-
B.
L Line
The L Line was a light rail route in the Los Angeles Metro Rail system that connected communities across the San Gabriel Valley and Eastside before being integrated into other lines.
-
C.
T Line
The T Line is a streetcar-style light rail route within the Sound Transit Link system serving Tacoma, Washington.
-
D.
Pink Line
The Pink Line is a rapid transit route in Chicago's "L" system that runs between the Loop and the city's West Side neighborhoods.
-
E.
Pink Line
Pink Line is a major corridor of the Delhi Metro network that forms part of the system’s orbital route around the city.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9cf77dc819098979094172d82d1 |
completed | March 8, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c2971788190b8f48da3883d2ba2 |
completed | March 14, 2026, 11:53 a.m. |
Created at: March 8, 2026, 3:33 p.m.