Triple

T23303634
Position Surface form Disambiguated ID Type / Status
Subject Palm Beach water park E590373 entity
Predicate name P16 FINISHED
Object Palm Beach 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: Palm Beach | Statement: [Palm Beach water park, name, Palm Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palm Beach
Context triple: [Palm Beach water park, name, Palm Beach]
  • A. Palm Beach
    Palm Beach is a small coastal settlement and popular beach area on Waiheke Island in New Zealand, known for its scenic shoreline and holiday homes.
  • B. Palm Beach
    Palm Beach is a coastal suburb and popular swimming and surfing beach in Rockingham, Western Australia.
  • C. Palm Beach
    Palm Beach is a wealthy resort town in South Florida known for its upscale estates, luxury shopping, and exclusive beaches.
  • D. Palm Beach
    Palm Beach is a coastal suburb on Queensland’s Gold Coast in Australia, known for its long sandy beaches and relaxed seaside lifestyle.
  • E. West Palm Beach
    West Palm Beach is a coastal city in South Florida known for its waterfront downtown, cultural attractions, and role as a major urban center in Palm Beach County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19724de488190ac8eb89253c8dd53 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:04 p.m.