Triple

T3643387
Position Surface form Disambiguated ID Type / Status
Subject Red Castle Museum E77240 entity
Predicate focusesOnRegion P31 FINISHED
Object Fezzan 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 | Statement: [Red Castle Museum, focusesOnRegion, Fezzan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fezzan
Context triple: [Red Castle Museum, focusesOnRegion, Fezzan]
  • 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. Toshka
    Toshka is a region in southern Egypt best known for the Toshka Lakes and large-scale desert reclamation and irrigation projects near Lake Nasser.
  • D. El Azizia, Algeria
    El Azizia is a small town in Algeria notable as the birthplace of prominent diplomat Lakhdar Brahimi.
  • E. Moroccan Sahara
    The Moroccan Sahara is the vast desert region in southern Morocco, known for its sweeping sand dunes, arid landscapes, and traditional Berber culture.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc35acf2c81908f60168e93b773b1 completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f3207688190b8d93e2e833b15a0 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:24 p.m.