Triple

T772023
Position Surface form Disambiguated ID Type / Status
Subject Holden Monaro E16301 entity
Predicate assemblyLocation P40 FINISHED
Object Elizabeth, South Australia E80853 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: Elizabeth, South Australia | Statement: [Holden Monaro, assemblyLocation, Elizabeth, South Australia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth, South Australia
Context triple: [Holden Monaro, assemblyLocation, Elizabeth, South Australia]
  • A. Elizabeth, South Australia chosen
    Elizabeth, South Australia is a northern suburb of Adelaide known historically as a major automotive manufacturing hub and industrial center.
  • B. Yeppoon
    Yeppoon is a coastal town in Central Queensland, Australia, known as a gateway to the Capricorn Coast and the Keppel Islands.
  • C. Eyre
    Eyre is an English surname historically associated with notable figures such as explorer and colonial administrator Edward John Eyre.
  • D. Esperance
    Esperance is a coastal town in Western Australia known for its white-sand beaches, turquoise waters, and proximity to Cape Le Grand 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a706abf88190a1cbc2dfbbf9968a completed March 1, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d7a0a088190972b9505ecd43d65 completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:37 p.m.