Triple

T14560504
Position Surface form Disambiguated ID Type / Status
Subject Royal Moroccan Air Force E341651 entity
Predicate airBase P2882 FINISHED
Object Laayoune Air Base E1115028 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: Laayoune Air Base | Statement: [Royal Moroccan Air Force, airBase, Laayoune Air Base]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laayoune Air Base
Context triple: [Royal Moroccan Air Force, airBase, Laayoune Air Base]
  • A. Laayoune Air Base chosen
    Laayoune Air Base is a military airfield in Western Sahara serving as a key installation for Morocco’s Royal Air Force.
  • B. Meknes Air Base
    Meknes Air Base is a Moroccan military airfield that serves as a key installation for the Royal Moroccan Air Force.
  • C. Boufarik Air Base
    Boufarik Air Base is a major military airfield in Algeria that serves as a key operational hub for the Algerian Air Force.
  • D. Ben Guerir Air Base
    Ben Guerir Air Base is a military airfield in Morocco that serves as a key installation for the Royal Moroccan Air Force.
  • E. Sidi Slimane Air Base
    Sidi Slimane Air Base is a Moroccan military airfield used by the Royal Moroccan Air Force.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb389d0f48190a1d9d69456d1cbe1 completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e7772508190bee1eb310aa40372 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:23 a.m.