Triple
T12351756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yawkey Way |
E294504
|
entity |
| Predicate | nearbyTransit |
P5822
|
FINISHED |
| Object | Kenmore station |
E53962
|
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: Kenmore station | Statement: [Yawkey Way, nearbyTransit, Kenmore station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenmore station Context triple: [Yawkey Way, nearbyTransit, Kenmore station]
-
A.
Kenmore station
chosen
Kenmore station is a major Boston transit hub on the MBTA Green Line that serves as a key access point to Fenway Park and nearby Boston University.
-
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.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
-
D.
Ardmore Station
Ardmore Station is a commuter rail station in Ardmore, Pennsylvania, serving Amtrak and SEPTA trains along the busy Keystone Corridor between Philadelphia and Harrisburg.
-
E.
Madison station
Madison station is a commuter rail stop in Madison, Connecticut, served by Shore Line East trains along the Northeast Corridor.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8aa33c8190b22b7dff9559b8ed |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ef437d08190b09132fa090504a5 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:53 p.m.