Triple

T16129448
Position Surface form Disambiguated ID Type / Status
Subject Kamilaroi Highway E391354 entity
Predicate passesThrough P225 FINISHED
Object Quirindi E348594 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: Quirindi | Statement: [Kamilaroi Highway, passesThrough, Quirindi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quirindi
Context triple: [Kamilaroi Highway, passesThrough, Quirindi]
  • A. Quirindi chosen
    Quirindi is a rural town in New South Wales, Australia, known for its agricultural surroundings and location on the Liverpool Plains.
  • B. Carcoar
    Carcoar is a historic village in New South Wales, Australia, known for its well-preserved 19th-century architecture and picturesque rural setting.
  • C. Cutral Có
    Cutral Có is a city in western Argentina known as an important oil and gas center within Neuquén Province.
  • D. Morialta
    Morialta is an electoral district in the South Australian House of Assembly that covers parts of Adelaide’s eastern and northeastern suburbs and nearby hills communities.
  • E. Ossorio
    Ossorio is a Spanish-origin surname notably borne by Filipino-American abstract expressionist artist Alfonso Ossorio.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e202075860819088d27d921609a6ce completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7a0ed9c8190a10fa88ee94811cb completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.