Triple
T13215815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broad Street and Snyder Avenue |
E314610
|
entity |
| Predicate | hasNearbyFacility |
P5648
|
FINISHED |
| Object | Snyder station |
E80109
|
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: Snyder station | Statement: [Broad Street and Snyder Avenue, hasNearbyFacility, Snyder station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snyder station Context triple: [Broad Street and Snyder Avenue, hasNearbyFacility, Snyder station]
-
A.
Snyder station
chosen
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
-
B.
Vestby Station
Vestby Station is a railway station in Vestby, Norway, serving as a stop on the Østfold Line for regional and commuter trains.
-
C.
Crestwood station
Crestwood station is a Metro-North Railroad commuter rail stop on the Harlem Line serving the Crestwood neighborhood of Eastchester in Westchester County, New York.
-
D.
Dorsey station
Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
-
E.
Clearfield station
Clearfield station is a commuter rail stop in Clearfield, Utah, serving Utah Transit Authority’s FrontRunner 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf28c9c819080d7b42d20f579d1 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716c2c15c819096a0eb84e7551f6f |
completed | May 3, 2026, 9:34 a.m. |
Created at: April 9, 2026, 9:18 p.m.