Triple

T6276653
Position Surface form Disambiguated ID Type / Status
Subject Mende E140677 entity
Predicate language P15 FINISHED
Object Mende language E417285 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: Mende language | Statement: [Mende, language, Mende language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mende language
Context triple: [Mende, language, Mende language]
  • A. Mende language chosen
    The Mende language is a major Niger–Congo language spoken primarily in Sierra Leone by the Mende people and used in regional trade, culture, and education.
  • B. Mandeali language
    Mandeali language is an Indo-Aryan language spoken primarily in the Mandi region of Himachal Pradesh, India.
  • C. Mandar language
    Mandar is an Austronesian language spoken primarily by the Mandar people along the western coast of Sulawesi in Indonesia.
  • D. Damana language
    The Damana language is an indigenous Chibchan tongue spoken by the Wiwa people of the Sierra Nevada de Santa Marta region in northern Colombia.
  • E. Maléku language
    The Maléku language is an indigenous Chibchan language spoken by the Maléku people of northern Costa Rica, known for its endangered status and rich oral tradition.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063d96fbc8190a9091456b82762d1 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c519478ed88190913f9e3ccf6368f1 completed March 26, 2026, 11:32 a.m.
Created at: March 22, 2026, 4:26 p.m.