Triple

T5684279
Position Surface form Disambiguated ID Type / Status
Subject North Haven, New South Wales E125272 entity
Predicate locatedNear P294 FINISHED
Object Laurieton E114028 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: Laurieton | Statement: [North Haven, New South Wales, locatedNear, Laurieton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurieton
Context triple: [North Haven, New South Wales, locatedNear, Laurieton]
  • A. Laurieton chosen
    Laurieton is a small coastal town in New South Wales, Australia, known for its scenic setting near the Camden Haven River and proximity to national parks and beaches.
  • B. Sarratt
    Sarratt is a rural village in Hertfordshire, England, known for its traditional village green, historic buildings, and scenic Chilterns countryside.
  • C. Crotonville
    Crotonville is a small hamlet within the town of Ossining in Westchester County, New York.
  • D. Lufton
    Lufton is a fictional aristocratic family name most notably associated with the character Lord Lufton in Anthony Trollope’s Barsetshire novels.
  • E. Lobethal
    Lobethal is a small town in South Australia known for its German heritage and popular annual Christmas lights festival.
  • 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.