Triple
T8086808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coney Island Beach |
E188752
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Luna Park |
E183918
|
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: Luna Park | Statement: [Coney Island Beach, adjacentTo, Luna Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luna Park Context triple: [Coney Island Beach, adjacentTo, Luna Park]
-
A.
Luna Park
Luna Park is a historic indoor arena in Buenos Aires, Argentina, renowned for hosting major sports events, concerts, and cultural spectacles.
-
B.
Luna Park
chosen
Luna Park is a historic amusement park on Coney Island in Brooklyn, New York, known for its classic rides, carnival atmosphere, and role in early American amusement history.
-
C.
Luna Park Sydney
Luna Park Sydney is a historic harbourside amusement park in Sydney, Australia, famous for its iconic smiling entrance face and classic carnival rides.
-
D.
Tivoli Park
Tivoli Park is the largest and most famous public park in Ljubljana, Slovenia, known for its landscaped gardens, walking paths, and cultural venues.
-
E.
Royal Pier
Royal Pier is a historic seaside pleasure pier and popular visitor attraction located on the waterfront of Aberystwyth in Wales.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4160e4748190ae63624a2a03d09f |
completed | March 31, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd342a5fb88190b9225ba50e2124b8 |
completed | April 1, 2026, 3:05 p.m. |
Created at: March 30, 2026, 5:29 p.m.