Triple

T2131840
Position Surface form Disambiguated ID Type / Status
Subject Sabha Airport E46557 entity
Predicate locatedIn P40 FINISHED
Object Fezzan region E22133 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: Fezzan region | Statement: [Sabha Airport, locatedIn, Fezzan region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fezzan region
Context triple: [Sabha Airport, locatedIn, Fezzan region]
  • A. Fezzan chosen
    Fezzan is a sparsely populated desert region in southwestern Libya, historically significant as a trans-Saharan trade hub and home to several ancient oasis settlements.
  • B. Tadjourah Region
    Tadjourah Region is an administrative region in western Djibouti known for its arid landscapes and for encompassing Lake Assal, one of the saltiest and lowest-lying lakes in the world.
  • C. Chenoua region
    The Chenoua region is an area in northern Algeria known as the homeland of the Shenwa (Chenoua) Berber-speaking community.
  • D. Cyrenaica
    Cyrenaica is a historic coastal region in eastern Libya, centered around the ancient Greek city of Cyrene and long significant as a cultural and political area in North Africa.
  • E. Ouarzazate region
    The Ouarzazate region is a semi-arid area in south-central Morocco known as a gateway to the Sahara Desert and a hub for film production and solar energy projects.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb7b13ac819094d43159fff984cf completed March 7, 2026, 5:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7ef2dda08190b55919f0df935a6d completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:44 p.m.