Triple

T14583110
Position Surface form Disambiguated ID Type / Status
Subject Green Point, New South Wales E342242 entity
Predicate locatedNear P294 FINISHED
Object Kincumber E333651 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: Kincumber | Statement: [Green Point, New South Wales, locatedNear, Kincumber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kincumber
Context triple: [Green Point, New South Wales, locatedNear, Kincumber]
  • A. Kincumber chosen
    Kincumber is a coastal suburb on the Central Coast of New South Wales, Australia, known for its residential communities, waterways, and proximity to natural reserves.
  • B. Jincumbilly
    Jincumbilly is a small rural locality in New South Wales, Australia, situated in the Snowy Monaro region.
  • C. Umberleigh
    Umberleigh is a small rural village in North Devon, England, situated on the River Taw and served by a local railway station.
  • D. Balnamoon
    Balnamoon is a historic Scottish estate associated with the Carnegie family, notably James Carnegie of Balnamoon.
  • E. Kilgetty
    Kilgetty is a small village in Pembrokeshire, Wales, known as a local residential and service hub near the coastal resort of Saundersfoot.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4209b988190ad2a7b2dead8ffed completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94ba235c81909e0408ccf2be9628 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.