Triple
T2524337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subaru Park |
E55999
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | PPL Park |
E65225
|
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: PPL Park | Statement: [Subaru Park, formerName, PPL Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PPL Park Context triple: [Subaru Park, formerName, PPL Park]
-
A.
PPL Park
chosen
PPL Park is a soccer-specific stadium in Chester, Pennsylvania, that originally served as the home venue for Major League Soccer’s Philadelphia Union.
-
B.
Kalorama Park
Kalorama Park is a neighborhood green space in Washington, D.C., known for its playgrounds, recreation areas, and role as a community gathering spot in the Kalorama area.
-
C.
Hanna Park
Hanna Park is a public recreational park located in Shelby, North Carolina.
-
D.
Gallery Park
Gallery Park is a public recreational park in Glenview, Illinois, featuring open green spaces, walking paths, and community amenities.
-
E.
Jordan Park
Jordan Park is a small, affluent residential neighborhood in San Francisco known for its quiet streets and proximity to Laurel Heights and the Presidio.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd252f1c88190ac93604542f80f49 |
completed | March 7, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2bacd4108190980b32c9fa302a72 |
completed | March 9, 2026, 8:21 p.m. |
Created at: March 6, 2026, 9:46 p.m.