Triple

T10743419
Position Surface form Disambiguated ID Type / Status
Subject Booti Booti National Park E253384 entity
Predicate locatedNear P294 FINISHED
Object Forster E102824 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: Forster | Statement: [Booti Booti National Park, locatedNear, Forster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forster
Context triple: [Booti Booti National Park, locatedNear, Forster]
  • A. Forster
    Forster is a German surname borne by numerous notable figures, including scientists, writers, and artists.
  • B. Forster chosen
    Forster is a coastal town in New South Wales, Australia, known for its beaches, fishing, and holiday tourism.
  • C. Anne Forster
    Anne Forster was the wife of the Irish philosopher and Anglican bishop George Berkeley, known primarily through her marriage into his prominent intellectual and clerical household.
  • D. June Forster
    June Forster is known as the wife of American actor Robert Forster.
  • E. Fowles
    Fowles is the surname of Sylvia Fowles, an American professional basketball player renowned as one of the most dominant centers in WNBA history.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d711b5dd8c81908f1d9b126e4c3ae7 completed April 9, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbdb0470a4819082c5eb1f43ee02e2 completed April 12, 2026, 5:48 p.m.
Created at: April 8, 2026, 9:15 p.m.