Triple
T10494044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snake Eyes |
E247488
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Atlantic City |
E24599
|
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: Atlantic City | Statement: [Snake Eyes, setting, Atlantic City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atlantic City Context triple: [Snake Eyes, setting, Atlantic City]
-
A.
Atlantic City
Atlantic City is a small unincorporated community in Nebraska, United States.
-
B.
Atlantic City
chosen
Atlantic City is a New Jersey coastal resort city famous for its casinos, boardwalk, and beaches.
-
C.
Cape May
Cape May is a historic seaside resort city at the southern tip of New Jersey, known for its Victorian architecture and popular beaches.
-
D.
Asbury Park
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.
-
E.
Ocean City, New Jersey
Ocean City, New Jersey is a popular family-oriented seaside resort town on the Jersey Shore, known for its beaches, boardwalk, and status as a dry (alcohol-free) vacation destination.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097fe2bc81909d66ce43f3533284 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcaeb6088190829b6c26eb1de7d5 |
completed | April 10, 2026, 11:19 a.m. |
Created at: April 6, 2026, 12:24 p.m.