Triple

T10060259
Position Surface form Disambiguated ID Type / Status
Subject Teda language E208969 entity
Predicate spokenIn P2266 FINISHED
Object Tibesti region E227594 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: Tibesti region | Statement: [Teda language, spokenIn, Tibesti region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tibesti region
Context triple: [Teda language, spokenIn, Tibesti region]
  • A. Tibesti Region chosen
    Tibesti Region is an administrative region in northern Chad known for encompassing part of the remote, mountainous Tibesti Massif in the Sahara Desert.
  • B. Tibesti Mountains
    The Tibesti Mountains are a remote volcanic mountain range in the central Sahara, spanning northern Chad and southern Libya and known for their high peaks, rugged terrain, and association with the Tebu people.
  • C. Shira Plateau
    Shira Plateau is a high-altitude volcanic plateau on Mount Kilimanjaro known for its expansive views and unique alpine scenery.
  • D. Ahaggar Tamahaq
    Ahaggar Tamahaq is a regional variety of the Tuareg Berber language traditionally spoken by Tuareg communities in Algeria’s Ahaggar (Hoggar) region.
  • E. Luye Plateau
    Luye Plateau is a scenic highland area in southeastern Taiwan renowned for its tea plantations, hot air balloon festivals, and panoramic views over Taitung’s rural landscape.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfd0d23081909510785ef8a186a3 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cbb441388190bf01925b8624377d completed April 5, 2026, 8:53 p.m.
Created at: March 30, 2026, 8:57 p.m.