Triple

T20989787
Position Surface form Disambiguated ID Type / Status
Subject Tongaat Hulett E516989 entity
Predicate headquartersLocation P62 FINISHED
Object Tongaat NE NERFINISHED

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: Tongaat | Statement: [Tongaat Hulett, headquartersLocation, Tongaat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tongaat
Context triple: [Tongaat Hulett, headquartersLocation, Tongaat]
  • A. Tongaat chosen
    Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
  • B. Tongala
    Tongala is a small rural town in northern Victoria, Australia, known for its dairy industry and agricultural surroundings.
  • C. Watonga
    Watonga is a small city in central Oklahoma known for its agricultural community and annual cheese festival.
  • D. Tahuata
    Tahuata is a small, rugged island in the southern Marquesas archipelago of French Polynesia, known for its traditional Polynesian culture and remote, scenic landscapes.
  • E. Tavewa
    Tavewa is a small island in Fiji’s Yasawa archipelago, known for its beaches, snorkeling, and backpacker-friendly resorts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe5f49c8190a5c031eceba9ebf7 completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:49 p.m.