Triple
T14970553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEPTA Chestnut Hill East Line |
E373304
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Carpenter station |
E160369
|
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: Carpenter station | Statement: [SEPTA Chestnut Hill East Line, hasStation, Carpenter station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carpenter station Context triple: [SEPTA Chestnut Hill East Line, hasStation, Carpenter station]
-
A.
Carpenter station
chosen
Carpenter station is a regional rail stop in Philadelphia, Pennsylvania, served by SEPTA’s Chestnut Hill West Line.
-
B.
Rockwell station
Rockwell station is an elevated Chicago 'L' rapid transit stop in the Lincoln Square neighborhood, serving passengers on the Brown Line.
-
C.
Hatcher station
Hatcher station is a light rail stop on Dallas Area Rapid Transit’s Green Line serving the surrounding Dallas, Texas community.
-
D.
Wheeler station
Wheeler station is a light rail stop in Houston, Texas, serving as an important transit point on METRORail’s Red Line.
-
E.
Cedars station
Cedars station is a light rail stop on Dallas Area Rapid Transit’s Green Line serving the Cedars neighborhood just south of downtown Dallas, Texas.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e59a7c8190a1634a706ea68fda |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8be6ce68819099f841d83c6ca33d |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:49 a.m.