Triple
T6060400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LOVE Park, Philadelphia |
E135018
|
entity |
| Predicate | hasNearbyPublicTransport |
P15438
|
FINISHED |
| Object | 15th Street Station |
E26317
|
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: 15th Street Station | Statement: [LOVE Park, Philadelphia, hasNearbyPublicTransport, 15th Street Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 15th Street Station Context triple: [LOVE Park, Philadelphia, hasNearbyPublicTransport, 15th Street Station]
-
A.
38th Street Station
38th Street Station is a light rail stop in Minneapolis, Minnesota, serving passengers on the METRO Blue Line.
-
B.
10th Street Station
10th Street Station is a light rail stop on Metro Transit's Green Line serving downtown Saint Paul, Minnesota.
-
C.
15th Street station
chosen
15th Street station is a major underground transit hub in Center City Philadelphia that connects SEPTA’s subway–surface trolleys with the Market–Frankford Line and nearby regional rail services.
-
D.
46th Street Station
46th Street Station is a light rail stop in Minneapolis, Minnesota, serving passengers on the METRO Blue Line.
-
E.
37th Street station
37th Street station is a Philadelphia trolley stop on SEPTA’s Subway–Surface Lines serving the University City area near the University of Pennsylvania.
- 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_69c00878d06881909ee78e88913bf890 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0571e479c8190bec0e1439b4cf68f |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135761d0081908864f17234af11bd |
completed | March 23, 2026, 12:43 p.m. |
Created at: March 22, 2026, 4:10 p.m.