Triple
T15333230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State/Lake |
E366593
|
entity |
| Predicate | servedByLine |
P1293
|
FINISHED |
| Object | Pink Line |
E18388
|
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: Pink Line | Statement: [State/Lake, servedByLine, Pink Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pink Line Context triple: [State/Lake, servedByLine, Pink Line]
-
A.
Pink Line
chosen
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.
-
B.
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.
-
C.
Pink Line
The Pink Line is an elevated mass transit monorail route in Bangkok that serves as part of the city's urban rail network, connecting northern and eastern suburbs.
-
D.
Red Line
The Red Line is a primary route of the MetroLink light rail system serving key destinations in the St. Louis metropolitan area.
-
E.
Red Line
The Red Line is a regional express bus route operated under the SolanoExpress system, providing intercity transit service in Solano County and surrounding areas.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0268608190947a58f559a67717 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cea6bb88190a6d6f7c55daa4677 |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:17 a.m.