Triple

T2268576
Position Surface form Disambiguated ID Type / Status
Subject Ghat E50604 entity
Predicate hasLanguage P15 FINISHED
Object Tamahaq E203665 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: Tamahaq | Statement: [Ghat, hasLanguage, Tamahaq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamahaq
Context triple: [Ghat, hasLanguage, Tamahaq]
  • A. Tamahaq chosen
    Tamahaq is a Berber (Amazigh) language traditionally spoken by the Tuareg people of the central Sahara.
  • B. Tamana
    Tamana is one of the southernmost coral atolls of Kiribati, known for its small size, traditional I-Kiribati culture, and remote Pacific Ocean location.
  • C. Tamba
    Tamba is a city located in Hyogo Prefecture, Japan, known for its rural landscapes, traditional pottery, and historical sites.
  • D. Nembe
    Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
  • E. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1bbb49c8190822c7d809375e879 completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71d70e488190a2f8276dd7a7bf9e completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.