Triple
T10789296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darien, Connecticut |
E254534
|
entity |
| Predicate | hasRailStation |
P726
|
FINISHED |
| Object | Darien station |
E239907
|
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: Darien station | Statement: [Darien, Connecticut, hasRailStation, Darien station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darien station Context triple: [Darien, Connecticut, hasRailStation, Darien station]
-
A.
Darien station
chosen
Darien station is a commuter rail stop on the Metro-North Railroad's New Haven Line serving the town of Darien, Connecticut.
-
B.
Campbell Station
Campbell Station is a small unincorporated community in Tennessee, United States.
-
C.
Wyandanch station
Wyandanch station is a Long Island Rail Road commuter rail stop serving the community of Wyandanch in Suffolk County, New York.
-
D.
Kedzie station
Kedzie station is a Chicago 'L' rapid transit stop on the Brown Line serving the city's Northwest Side.
-
E.
Patterson station
Patterson station is a commuter rail stop in Patterson, New York, served by the Metro-North Railroad on its Harlem 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732f4b1388190a1364e56a90e8388 |
completed | April 9, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84ddd6f48190a11eae9233d3ef9f |
completed | April 14, 2026, 6:18 p.m. |
Created at: April 8, 2026, 9:17 p.m.