Triple

T18972282
Position Surface form Disambiguated ID Type / Status
Subject Albert Park precinct E464198 entity
Predicate hasPart P35 FINISHED
Object Albert 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: Albert Park | Statement: [Albert Park precinct, hasPart, Albert Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Park
Context triple: [Albert Park precinct, hasPart, Albert Park]
  • A. Albert Park
    Albert Park is a public urban park in Middlesbrough, England, known for its recreational facilities, green spaces, and community events.
  • B. Albert Park
    Albert Park is a residential suburb in Adelaide, South Australia, known for its quiet streets and proximity to the city’s western beaches.
  • C. Albert Park
    Albert Park is a prominent public park and sports ground in central Suva, Fiji, known for hosting major civic events, cricket and rugby matches, and national celebrations.
  • D. Albert Park Circuit
    Albert Park Circuit is a semi-permanent street-based motorsport track around Albert Park Lake in Melbourne, Australia, best known as the long-time host of Formula One’s Australian Grand Prix.
  • E. McLaren Park
    McLaren Park is a large public park in southeastern San Francisco known for its natural open spaces, trails, and recreational facilities.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d61cb3ac8190bfe29104166fa090 completed April 20, 2026, 7:30 a.m.
Created at: April 10, 2026, noon