Triple

T3448452
Position Surface form Disambiguated ID Type / Status
Subject Mitchell Highway E72732 entity
Predicate passesThrough P225 FINISHED
Object Molong E75095 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: Molong | Statement: [Mitchell Highway, passesThrough, Molong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molong
Context triple: [Mitchell Highway, passesThrough, Molong]
  • A. Molong chosen
    Molong is a small rural town in New South Wales, Australia, known for its agricultural surroundings and historic country charm.
  • B. Wilcannia
    Wilcannia is a small, remote town in far western New South Wales, Australia, historically significant as a river port and situated on the Darling River.
  • C. Manjimup
    Manjimup is a rural town in Western Australia known for its timber industry, agriculture, and truffle production.
  • D. Menindee
    Menindee is a small town in western New South Wales, Australia, known for its historic river port heritage and proximity to the Menindee Lakes system.
  • E. Kununurra
    Kununurra is a remote town in far northern Western Australia known as a gateway to the East Kimberley’s rugged landscapes, irrigation agriculture, and Lake Argyle.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba705d988190b76d905751a337ee completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e59178881909facfe90004c9d99 completed March 13, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:16 p.m.