Triple

T11279675
Position Surface form Disambiguated ID Type / Status
Subject Taree Airport E267029 entity
Predicate serves P98 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: [Taree Airport, serves, Taree]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taree
Context triple: [Taree Airport, serves, 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. Runga
    Runga are an ethnic group primarily found in the Central African Republic, Chad, and Sudan, known for their distinct language and cultural traditions.
  • C. Tongaat
    Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
  • D. Arutua
    Arutua is a coral atoll in French Polynesia’s Tuamotu Archipelago, known for its lagoon, pearl farming, and traditional Polynesian community.
  • E. 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.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e969b3448190940e2bd499d2d7de completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ef81c65ba48190a8e2b9d7078cd978 completed April 27, 2026, 3:33 p.m.
Created at: April 8, 2026, 9:31 p.m.