Triple

T9167485
Position Surface form Disambiguated ID Type / Status
Subject Badr Airlines E219997 entity
Predicate callsign P1565 FINISHED
Object BADR AIR E219997 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: BADR AIR | Statement: [Badr Airlines, callsign, BADR AIR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BADR AIR
Context triple: [Badr Airlines, callsign, BADR AIR]
  • A. Badr Airlines chosen
    Badr Airlines is a Sudanese airline that operates passenger and cargo services, primarily based in Khartoum.
  • B. Buraq Air
    Buraq Air is a Libyan airline that operates domestic and regional flights, primarily serving routes within Libya and neighboring countries.
  • C. Syrian Air
    Syrian Air is the state-owned national airline of Syria, operating regional and international passenger flights primarily from its hub in Damascus.
  • D. Palestine Airways
    Palestine Airways was an early commercial airline that operated in the British Mandate of Palestine in the 1930s, providing regional passenger and mail services in the Eastern Mediterranean.
  • E. Tassili Airlines
    Tassili Airlines is an Algerian airline based in Algiers that operates domestic and regional flights, primarily serving the oil and gas industry and general passenger traffic.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaade47cc81909b5c127dc8aa1340 completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0548b0e6c819090ece33b9ede9fa6 completed April 4, 2026, midnight
Created at: March 30, 2026, 7:22 p.m.