Triple

T6662039
Position Surface form Disambiguated ID Type / Status
Subject Syrian Air E151499 entity
Predicate callsign P1565 FINISHED
Object SYRIANAIR E151499 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: SYRIANAIR | Statement: [Syrian Air, callsign, SYRIANAIR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SYRIANAIR
Context triple: [Syrian Air, callsign, SYRIANAIR]
  • A. Syrian Air chosen
    Syrian Air is the state-owned national airline of Syria, operating regional and international passenger flights primarily from its hub in Damascus.
  • B. Syrian Civil Aviation Authority
    The Syrian Civil Aviation Authority is the government body responsible for regulating and overseeing civil aviation activities and infrastructure in Syria.
  • C. Badr Airlines
    Badr Airlines is a Sudanese airline that operates passenger and cargo services, primarily based in Khartoum.
  • D. Jubba Airways
    Jubba Airways is a Somali airline that operates regional passenger and cargo flights across the Horn of Africa and the Middle East.
  • E. Jazeera Airways
    Jazeera Airways is a Kuwaiti low-cost airline based in Kuwait that operates regional and international flights across the Middle East, Asia, and Europe.
  • 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_69c687f5fac48190a09e4838d9c6b45d completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b097e0e481909251443f9ce0b85a completed March 27, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef0a0c208190ac6a309bfb2e4e4b completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:02 p.m.