Triple

T15380011
Position Surface form Disambiguated ID Type / Status
Subject Armidale Airport E367773 entity
Predicate serves P98 FINISHED
Object City of Armidale E72691 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: City of Armidale | Statement: [Armidale Airport, serves, City of Armidale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Armidale
Context triple: [Armidale Airport, serves, City of Armidale]
  • A. Armidale chosen
    Armidale is a regional city in New South Wales, Australia, known for its university, cool climate, and location on the Northern Tablelands.
  • B. Glen Innes
    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.
  • C. Lismore
    Lismore is a historic town in County Waterford, Ireland, known for its medieval castle, scenic setting on the River Blackwater, and rich ecclesiastical heritage.
  • D. Lismore
    Lismore is a regional city in northeastern New South Wales, Australia, known as a commercial and administrative centre for the surrounding Northern Rivers area.
  • E. Lismore
    Lismore is a Scottish island in the Inner Hebrides known for its fertile limestone geology, historic sites, and scenic coastal landscapes.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e6044488190b0499db109f7f821 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff677ef27c81909fd160205b71ca55 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 3:19 a.m.