Triple

T11283615
Position Surface form Disambiguated ID Type / Status
Subject Maimonides Park E267127 entity
Predicate nearbyAttraction P3449 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: [Maimonides Park, nearbyAttraction, Luna Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luna Park
Context triple: [Maimonides Park, nearbyAttraction, 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9855e8881909bd301718cbd8ca1 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f471490081909036362c58e1e727 completed April 19, 2026, 3:27 p.m.
Created at: April 8, 2026, 9:31 p.m.