Triple
T5100617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mastic–Shirley |
E114971
|
entity |
| Predicate | replaced |
P101
|
FINISHED |
| Object | Shirley station |
E9739
|
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: Shirley station | Statement: [Mastic–Shirley, replaced, Shirley station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shirley station Context triple: [Mastic–Shirley, replaced, Shirley station]
-
A.
Shirley station
chosen
Shirley station is a commuter rail stop in Shirley, Massachusetts, serving passengers on the MBTA Fitchburg Line.
-
B.
Gibson station
Gibson station is a Long Island Rail Road commuter rail stop serving the Gibson neighborhood in Valley Stream, New York.
-
C.
Hewlett station
Hewlett station is a Long Island Rail Road commuter rail stop serving the Hewlett community in Nassau County, New York.
-
D.
Morgan station
Morgan station is a Chicago 'L' rapid transit stop serving the Near West Side, including the Fulton Market District, on the Green and Pink Lines.
-
E.
Andrew station
Andrew station is a rapid transit station in South Boston serving the Massachusetts Bay Transportation Authority's Red 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd758381dc8190ac491788d27ab8e0 |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba8977f481908b0d55a9cd28d492 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:40 p.m.