Triple

T3549618
Position Surface form Disambiguated ID Type / Status
Subject Yass E75077 entity
Predicate nearbyTown P3883 FINISHED
Object Goulburn E74985 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: Goulburn | Statement: [Yass, nearbyTown, Goulburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goulburn
Context triple: [Yass, nearbyTown, Goulburn]
  • A. Goulburn chosen
    Goulburn is a regional city in New South Wales, Australia, known as one of the country’s earliest inland settlements and a key agricultural and transport hub.
  • B. Katoomba
    Katoomba is a popular town in New South Wales, Australia, known as the main tourist hub of the Blue Mountains with attractions like the Three Sisters rock formation and scenic bushwalking trails.
  • C. Deniliquin
    Deniliquin is a rural town in southern New South Wales, Australia, known for its agricultural industry and annual ute muster festival.
  • D. Narromine
    Narromine is a rural town in western New South Wales, Australia, known for its agricultural production and aviation history.
  • E. Crookwell
    Crookwell is a rural town in New South Wales, Australia, known for its grazing agriculture, cool climate, and wind farms.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd38c8c8190a4591689ad57c998 completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b73c409081909c583019d7ec1d4a completed March 14, 2026, 7:30 p.m.
Created at: March 8, 2026, 3:20 p.m.