Triple

T19548959
Position Surface form Disambiguated ID Type / Status
Subject Macksville Ambulance Station E489148 entity
Predicate servesCommunity P82 FINISHED
Object Macksville 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: Macksville | Statement: [Macksville Ambulance Station, servesCommunity, Macksville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macksville
Context triple: [Macksville Ambulance Station, servesCommunity, Macksville]
  • A. Macksville chosen
    Macksville is a small riverside town in New South Wales, Australia, known as a local service and transport hub along the Pacific Highway.
  • B. Williamtown
    Williamtown is a locality in New South Wales, Australia, best known for hosting Newcastle Airport and the RAAF Base Williamtown military air base.
  • C. McMasterville
    McMasterville is a small suburban municipality located on the south shore of the Saint Lawrence River in the Montérégie region of Quebec, Canada.
  • D. Blayney
    Blayney is a rural town in New South Wales, Australia, known for its agricultural surroundings and role as a service centre in the Central Tablelands region.
  • E. Bowraville
    Bowraville is a small rural town in New South Wales, Australia, known for its historic main street and location in the Nambucca Valley.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d2e5e588190ac3a6f612d4fb54b completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:41 p.m.