Triple

T11166919
Position Surface form Disambiguated ID Type / Status
Subject Yipunu E264182 entity
Predicate alternateName P39 FINISHED
Object Pounou E264184 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: Pounou | Statement: [Yipunu, alternateName, Pounou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pounou
Context triple: [Yipunu, alternateName, Pounou]
  • A. Pounou chosen
    Pounou is an alternative name for the Punu, a Bantu ethnic group primarily inhabiting parts of Gabon and the Republic of the Congo, known for their rich cultural traditions and distinctive white-faced masks.
  • B. Ohaupo
    Ohaupo is a small rural settlement in the Waikato region of New Zealand, located just south of Hamilton and known for its farming community and village atmosphere.
  • C. Pakele
    Pakele is a dialectal variety of the Madi language spoken by a subgroup of the Madi people in Central Africa.
  • D. Onerahi
    Onerahi is a coastal suburb of Whangārei in Northland, New Zealand, known for its harbour views and proximity to Whangārei Airport.
  • E. Hei Hei
    Hei Hei is the dim-witted yet endearing rooster from Disney's animated film "Moana," known for his clumsy antics and comic relief.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e88843cc81909e503f0921c6d297 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463945e40819087c6bdbc322a6d54 completed April 19, 2026, 5:09 a.m.
Created at: April 8, 2026, 9:29 p.m.