Triple

T7310752
Position Surface form Disambiguated ID Type / Status
Subject Irymple E168083 entity
Predicate electoralDivisionFederal P1566 FINISHED
Object Mallee E175845 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: Mallee | Statement: [Irymple, electoralDivisionFederal, Mallee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mallee
Context triple: [Irymple, electoralDivisionFederal, Mallee]
  • A. Mallee region chosen
    The Mallee region is a semi-arid agricultural and rural area in northwestern Victoria, Australia, known for its distinctive mallee eucalypt vegetation and grain farming.
  • B. Kikuyu
    Kikuyu is a major Bantu language spoken primarily by the Kikuyu people of central Kenya.
  • C. Coolabah
    Coolabah is a small rural town in western New South Wales, Australia, known for its remote outback setting and role as a service stop along regional transport routes.
  • D. Acacias
    Acacias is a Madrid Metro station serving the central Arganzuela district and providing access to nearby residential and commercial areas.
  • E. Acacias
    Acacias is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebff866081909916796d1b72aee8 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eeeedea88190a17cf6b83abc10d8 completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:02 p.m.