Triple

T6102005
Position Surface form Disambiguated ID Type / Status
Subject King Animal E136018 entity
Predicate hasTrack P3284 FINISHED
Object Taree E52795 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: Taree | Statement: [King Animal, hasTrack, Taree]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taree
Context triple: [King Animal, hasTrack, Taree]
  • A. Taree chosen
    Taree is a regional town in New South Wales, Australia, situated on the Manning River and serving as a commercial and service hub for the surrounding agricultural and coastal communities.
  • B. Tongaat
    Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
  • C. Tiaro
    Tiaro is a small rural town in Queensland, Australia, situated within the Fraser Coast Region and known for its agricultural surroundings and historic charm.
  • D. Tairua
    Tairua is a small coastal town and popular holiday destination on New Zealand’s Coromandel Peninsula, known for its beaches, fishing, and scenic views of nearby offshore islands.
  • E. Ronga
    Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3c073c81908248c799934d6fce completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1254fbbf881908b7a3d07f0400387 completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:13 p.m.