Triple

T27059521
Position Surface form Disambiguated ID Type / Status
Subject Maurice Godelier E684995 entity
Predicate fieldworkRegion P37341 FINISHED
Object Papua New Guinea 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: Papua New Guinea | Statement: [Maurice Godelier, fieldworkRegion, Papua New Guinea]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fieldworkRegion
Context triple: [Maurice Godelier, fieldworkRegion, Papua New Guinea]
  • A. subregionOfFieldwork
    Indicates that one fieldwork area is a smaller, contained subregion within another, larger fieldwork area.
  • B. surveyRegion
    Indicates that an entity conducts or pertains to a survey covering a specified geographic or administrative region.
  • C. studiesRegion chosen
    Indicates that an entity engages in the academic or systematic study of a particular geographic or cultural region.
  • D. region1
    Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
  • E. placeRegion
    Indicates that a place is located within, or is part of, a larger geographic or administrative region.
  • F. None of above.

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_69ef14829fac8190914bef9ecc3005d7 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f67257b0448190a13011af81c81449 completed May 2, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69f66ec3d3d48190ab2f2b71939e572e completed May 2, 2026, 9:38 p.m.
Created at: April 27, 2026, 8:20 a.m.