Triple

T12581886
Position Surface form Disambiguated ID Type / Status
Subject Waikato E300358 entity
Predicate hasTown P847 FINISHED
Object Matamata E293577 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: Matamata | Statement: [Waikato, hasTown, Matamata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matamata
Context triple: [Waikato, hasTown, Matamata]
  • A. Matamata chosen
    Matamata is a rural New Zealand town best known as the gateway to the Hobbiton Movie Set from The Lord of the Rings and The Hobbit film trilogies.
  • B. Matakohe
    Matakohe is a small rural settlement in New Zealand best known for its Kauri Museum and historic connections to the kauri gum and timber industries.
  • C. Paremata
    Paremata is a coastal suburb of Porirua in the Wellington region of New Zealand, known for its harbour views and proximity to key transport routes.
  • D. Kawakawa
    Kawakawa is a small rural town in New Zealand known for its distinctive Hundertwasser-designed public toilets and its role as a gateway to the Bay of Islands.
  • E. Runga
    Runga are an ethnic group primarily found in the Central African Republic, Chad, and Sudan, known for their distinct language and cultural traditions.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954b97a508190b6c901c506441dd0 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6559ba5108190b85be540a405eec8 completed May 2, 2026, 7:50 p.m.
Created at: April 9, 2026, 5:02 p.m.