Triple
T21829857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEPTA Route 75 |
E538960
|
entity |
| Predicate | serviceArea |
P82
|
FINISHED |
| Object | Frankford |
—
|
NE NERFINISHED |
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: Frankford | Statement: [SEPTA Route 75, serviceArea, Frankford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frankford Context triple: [SEPTA Route 75, serviceArea, Frankford]
-
A.
Frankford
Frankford is a community within the city of Quinte West in Ontario, Canada, known for its small-town character and location along the Trent-Severn Waterway.
-
B.
Frankford
chosen
Frankford is a neighborhood in Northeast Philadelphia, Pennsylvania, known as a historic commercial and transit hub.
-
C.
Fairmount
Fairmount is a residential neighborhood in Philadelphia, Pennsylvania, known for its historic architecture, cultural institutions, and proximity to the city’s Museum District.
-
D.
Fairmount
Fairmount is a residential neighborhood area within the Hyde Park section of Boston, Massachusetts.
-
E.
Fairmount
Fairmount is a small town in Grant County, Indiana, best known as the childhood home of actor James Dean.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0913554508190b81347f01d3903e8 |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 16, 2026, 6:54 p.m.