Triple
T2505694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DART Red Line |
E52573
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | DART |
E125194
|
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: DART | Statement: [DART Red Line, brand, DART]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DART Context triple: [DART Red Line, brand, DART]
-
A.
DART
DART is an electrified suburban rail service that runs along the coast of Dublin and its surrounding areas, providing frequent commuter transport.
-
B.
DART
chosen
DART is the public transportation authority serving the Dallas–Fort Worth metropolitan area with buses, light rail, commuter rail, and paratransit services.
-
C.
DART Victory Station
DART Victory Station is a Dallas Area Rapid Transit rail station serving the Victory Park area, including major venues like the American Airlines Center.
-
D.
DARD
DARD is an organization focused on translating research findings into practical applications and real-world impact.
-
E.
Iota
Iota is the ninth letter of the Greek alphabet, historically representing a short "i" sound and giving rise to the Latin letter I.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1cec9f48190848b6129aa394ce4 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1fa57aa4819096578a5538973ec4 |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:46 p.m.