Triple

T19302958
Position Surface form Disambiguated ID Type / Status
Subject Te Puke E482747 entity
Predicate locatedNear P294 FINISHED
Object Maketu 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: Maketu | Statement: [Te Puke, locatedNear, Maketu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maketu
Context triple: [Te Puke, locatedNear, Maketu]
  • A. Maketu chosen
    Maketu is a small coastal township in New Zealand’s Bay of Plenty region, known as the traditional landing place of the Te Arawa canoe and for its strong Māori cultural heritage.
  • B. Mvumbi
    Mvumbi is the Zulu name of Albert Luthuli, the South African anti-apartheid leader and Nobel Peace Prize laureate.
  • C. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • D. Omkara
    Omkara is a critically acclaimed 2006 Indian crime drama film directed by Vishal Bhardwaj, adapted from Shakespeare’s Othello and known for its intense performances and rustic Uttar Pradesh setting.
  • E. Koutiala
    Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc8add788190aed98bcbad518808 completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.