Triple

T13145715
Position Surface form Disambiguated ID Type / Status
Subject Enga people E312329 entity
Predicate language P15 FINISHED
Object Enga language E1024290 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: Enga language | Statement: [Enga people, language, Enga language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enga language
Context triple: [Enga people, language, Enga language]
  • A. Enga language chosen
    Enga language is a major Papuan language of the Trans–New Guinea family spoken by the Enga people of the highlands of Papua New Guinea.
  • B. Benga language
    The Benga language is a Bantu language of the Niger-Congo family traditionally spoken by the Benga people in coastal areas of Equatorial Guinea and nearby islands.
  • C. Engenni language
    The Engenni language is a Niger-Congo language spoken by the Engenni people in Nigeria’s Niger Delta region.
  • D. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • E. Wuvulu-Aua language
    The Wuvulu-Aua language is an Oceanic language spoken on the Wuvulu and Aua islands of Papua New Guinea, known for its complex verbal morphology and distinctive phonological features.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bcf6d0c819081d078f33e4bdedc completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5d809948190aced5ce377402463 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:10 p.m.