Triple
T2295962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DART Green Line |
E51613
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Akard station |
E30234
|
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: Akard station | Statement: [DART Green Line, hasStation, Akard station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akard station Context triple: [DART Green Line, hasStation, Akard station]
-
A.
Akard station
chosen
Akard station is a Dallas Area Rapid Transit (DART) light rail station serving the central business district of downtown Dallas, Texas.
-
B.
Victory Station
Victory Station is a Dallas Area Rapid Transit (DART) light rail and commuter rail station located near the American Airlines Center in Dallas, Texas.
-
C.
Logan station
Logan station is an underground rapid transit stop in Philadelphia, Pennsylvania, serving the Logan neighborhood on SEPTA’s Broad Street Line.
-
D.
Diversey station
Diversey station is a Chicago Transit Authority 'L' train stop in the Lincoln Park neighborhood, served primarily by the Brown and Purple Lines.
-
E.
Carpenter station
Carpenter station is a regional rail stop in Philadelphia, Pennsylvania, served by SEPTA’s Chestnut Hill West Line.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5dc40f881908a3dcc518bbead55 |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f28db6c81909dbe55c704307da6 |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:49 p.m.