Triple
T22894067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonder Bar |
E568117
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Asbury Park |
—
|
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: Asbury Park | Statement: [Wonder Bar, city, Asbury Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asbury Park Context triple: [Wonder Bar, city, Asbury Park]
-
A.
Asbury Park
chosen
Asbury Park is a historic New Jersey seaside city known for its boardwalk, live music scene, and role in the development of artists like Bruce Springsteen.
-
B.
Seaside Park
Seaside Park is a small coastal borough and popular beach community located along the Jersey Shore in New Jersey.
-
C.
Seaside Park
Seaside Park is a historic waterfront public park in Bridgeport, Connecticut, known for its beaches, promenades, and views of Long Island Sound.
-
D.
Point Pleasant Beach
Point Pleasant Beach is a popular New Jersey coastal resort town known for its sandy beaches, lively boardwalk, and family-friendly attractions along the Jersey Shore.
-
E.
Seaside Heights
Seaside Heights is a popular New Jersey beach town and boardwalk resort known for its lively nightlife, amusement rides, and role in the reality TV show "Jersey Shore."
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc76be48190af9aa54a84b2d7bf |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.