Triple
T781566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MBTA Green Line D branch |
E16506
|
entity |
| Predicate | servesStation |
P839
|
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: [MBTA Green Line D branch, servesStation, Kenmore station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenmore station Context triple: [MBTA Green Line D branch, servesStation, 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.
Snyder station
Snyder station is an underground rapid transit stop on SEPTA’s Broad Street Line serving South Philadelphia.
-
C.
Erie station
Erie station is a subway station in Philadelphia, Pennsylvania, serving the SEPTA Broad Street Line.
-
D.
Monroe station
Monroe station is a Chicago 'L' rapid transit stop located in the Loop, serving downtown commuters on the city's elevated rail system.
-
E.
Howard station
Howard station is a major Chicago Transit Authority rail terminal on the city's North Side that serves as a key hub for the Red, Purple, and Yellow Lines.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a751ea3481908a622d5255249883 |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f6056588190af5d66c319ccd0e4 |
completed | March 7, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:37 p.m.