Triple

T14667386
Position Surface form Disambiguated ID Type / Status
Subject القوات الملكية الجوية E344413 entity
Predicate operatesIn P82 FINISHED
Object الصحراء المغربية E285479 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: الصحراء المغربية | Statement: [القوات الملكية الجوية, operatesIn, الصحراء المغربية]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: الصحراء المغربية
Context triple: [القوات الملكية الجوية, operatesIn, الصحراء المغربية]
  • A. Algerian Sahara
    The Algerian Sahara is the vast desert region covering much of southern Algeria, characterized by arid landscapes, sand dunes, rocky plateaus, and sparse oasis settlements.
  • B. Moroccan Sahara chosen
    The Moroccan Sahara is the vast desert region in southern Morocco, known for its sweeping sand dunes, arid landscapes, and traditional Berber culture.
  • 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. Lommelse Sahara
    Lommelse Sahara is a unique Belgian nature reserve known for its expansive sand dunes, pine forests, and scenic lakes that resemble a desert landscape.
  • E. Northern Sahara
    The Northern Sahara is the vast arid expanse forming the northern portion of the Sahara Desert, encompassing regions such as the M’zab in Algeria and characterized by rocky plateaus, sand seas, and oases.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54dda1c8190bf16d17e26a2bba6 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e9bb2081908515ab6430e9b1c2 completed May 8, 2026, 12:24 p.m.
Created at: April 10, 2026, 1:27 a.m.