Triple
T8134410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Line (DART) |
E189932
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Bachman station |
E310572
|
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: Bachman station | Statement: [Green Line (DART), hasStation, Bachman station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bachman station Context triple: [Green Line (DART), hasStation, Bachman station]
-
A.
Bachman station
chosen
Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
-
B.
Briarwood station
Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
-
C.
Maplewood station
Maplewood station is a commuter rail stop on NJ Transit's Morris & Essex Lines serving the suburban community of Maplewood, New Jersey.
-
D.
Albertson station
Albertson station is a Long Island Rail Road commuter rail stop located in the hamlet of Albertson, New York.
-
E.
Meadow Woods station
Meadow Woods station is a commuter rail stop in the Orlando, Florida area served by the SunRail regional rail system.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43bbae608190bdc1afe6f0ab83ae |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd679a353c8190abe30eb7db13c072 |
completed | April 1, 2026, 6:44 p.m. |
Created at: March 30, 2026, 5:35 p.m.