Triple

T15128643
Position Surface form Disambiguated ID Type / Status
Subject Glen Innes railway station E361357 entity
Predicate servedCity P3936 FINISHED
Object Glen Innes E73063 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: Glen Innes | Statement: [Glen Innes railway station, servedCity, Glen Innes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glen Innes
Context triple: [Glen Innes railway station, servedCity, Glen Innes]
  • A. Glen Innes chosen
    Glen Innes is a prominent rural service and commercial centre in the Northern Tablelands region of New South Wales, Australia, known for its Celtic heritage and cool highland climate.
  • B. Armidale
    Armidale is a regional city in New South Wales, Australia, known for its university, cool climate, and location on the Northern Tablelands.
  • C. Moree
    Moree is a prominent agricultural and service town in northern New South Wales, Australia, known especially for its cotton industry and artesian hot springs.
  • D. Dungog
    Dungog is a small rural town in New South Wales, Australia, known for its historic architecture, dairy farming, and proximity to the Barrington Tops National Park.
  • E. Deniliquin
    Deniliquin is a rural town in southern New South Wales, Australia, known for its agricultural industry and annual ute muster 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005aff2648190bda885c09421758d completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff2ce5d0708190bbfff5d68c5e7a3c completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:06 a.m.