Triple

T20130937
Position Surface form Disambiguated ID Type / Status
Subject Dunbogan E490887 entity
Predicate locatedIn P40 FINISHED
Object Camden Haven district 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: Camden Haven district | Statement: [Dunbogan, locatedIn, Camden Haven district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camden Haven district
Context triple: [Dunbogan, locatedIn, Camden Haven district]
  • A. Camden Haven district chosen
    Camden Haven district is a coastal region on the New South Wales Mid North Coast of Australia, known for its rivers, beaches, and small towns such as Laurieton.
  • B. Pennard
    Pennard is a coastal village in Swansea, Wales, known for its scenic cliffs, nearby beaches, and the ruins of medieval Pennard Castle overlooking Three Cliffs Bay.
  • C. Clevedon
    Clevedon is a rural locality and former parliamentary electorate in the Auckland Region of New Zealand.
  • D. Clevedon
    Clevedon is a coastal town in southwest England known for its Victorian pier and views across the Severn Estuary.
  • E. West Bay district
    West Bay district is a modern, upscale business and residential area in Doha, Qatar, known for its high-rise skyline, luxury hotels, and proximity to the waterfront.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6676183dc8190b65d0def681aaa1e completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:31 p.m.