Triple

T14420652
Position Surface form Disambiguated ID Type / Status
Subject Rotores de Portugal E357574 entity
Predicate garrisonLocation P40 FINISHED
Object Beja Air Base E363556 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: Beja Air Base | Statement: [Rotores de Portugal, garrisonLocation, Beja Air Base]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beja Air Base
Context triple: [Rotores de Portugal, garrisonLocation, Beja Air Base]
  • A. Air Base No. 11 Beja chosen
    Air Base No. 11 Beja is a major Portuguese Air Force installation located near Beja in southern Portugal, used for training and operational missions.
  • B. Tamanrasset Air Base
    Tamanrasset Air Base is a major Algerian military airfield in southern Algeria that serves as a key strategic hub for air operations and regional security.
  • C. Beja Airport
    Beja Airport is a regional airport in Portugal that serves both civilian and military aviation needs, including charter and cargo operations.
  • D. 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.
  • E. Blida Air Base
    Blida Air Base is a major military airfield in Algeria that serves as a key operational hub for the Algerian 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de910eb354819089d5d5a46919eb49 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcb131c8190935d9bacb1afc995 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.