Triple

T5684296
Position Surface form Disambiguated ID Type / Status
Subject North Haven, New South Wales E125272 entity
Predicate locatedIn P40 FINISHED
Object Camden Haven district E490883 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: Camden Haven district | Statement: [North Haven, New South Wales, locatedIn, Camden Haven district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camden Haven district
Context triple: [North Haven, New South Wales, 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 coastal town in southwest England known for its Victorian pier and views across the Severn Estuary.
  • D. 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.
  • E. Waterside District
    Waterside District is a waterfront dining, entertainment, and shopping destination located along the Elizabeth River in downtown Norfolk, Virginia.
  • 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023b8efc4819085675d0d3dfb2a54 completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a3d2b348190b44a067f485bca70 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.