Triple

T13149218
Position Surface form Disambiguated ID Type / Status
Subject Berry E312417 entity
Predicate locatedNear P294 FINISHED
Object Gerringong E446164 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: Gerringong | Statement: [Berry, locatedNear, Gerringong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerringong
Context triple: [Berry, locatedNear, Gerringong]
  • A. Gerringong chosen
    Gerringong is a coastal town in New South Wales, Australia, known for its scenic beaches, dairy farming countryside, and relaxed seaside atmosphere.
  • B. Woolgoolga
    Woolgoolga is a coastal town in New South Wales, Australia, known for its beaches, Sikh community, and banana plantations.
  • C. Glenreagh
    Glenreagh is a small rural village in northern New South Wales, Australia, known for its historic timber industry and scenic surroundings near the Orara River.
  • D. Wyong
    Wyong is a town and administrative centre on the Central Coast of New South Wales, Australia.
  • E. Narooma
    Narooma is a coastal town in New South Wales, Australia, known for its scenic beaches, fishing, and proximity to Montague Island.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd0f5b08190ab700c5de1c8e138 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a82efbb0819081c4eff91303de31 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:11 p.m.