Triple
T8523486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danbury Branch (Metro-North Railroad) |
E201752
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Bethel station |
E534509
|
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: Bethel station | Statement: [Danbury Branch (Metro-North Railroad), hasStation, Bethel station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bethel station Context triple: [Danbury Branch (Metro-North Railroad), hasStation, Bethel station]
-
A.
Bethel station
chosen
Bethel station is a commuter rail stop in Bethel, Connecticut, served by Metro-North Railroad on its Danbury Branch line.
-
B.
Albertson station
Albertson station is a Long Island Rail Road commuter rail stop located in the hamlet of Albertson, New York.
-
C.
Milton station
Milton station is a light rail stop on the MBTA's Mattapan Trolley line in Milton, Massachusetts, serving local commuters on the Red Line's historic trolley branch.
-
D.
Westwood station
Westwood station is a New Jersey Transit commuter rail stop in Westwood, New Jersey, serving passengers on the Pascack Valley Line.
-
E.
Bachman station
Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe64362c88190b978a2544eec6e3e |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d3fabb08190a3ad63f9153ad44c |
completed | April 2, 2026, 1:21 p.m. |
Created at: March 30, 2026, 6:16 p.m.