Triple

T16061581
Position Surface form Disambiguated ID Type / Status
Subject SkyTeam E389626 entity
Predicate hasMember P10 FINISHED
Object Saudia E31450 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: Saudia | Statement: [SkyTeam, hasMember, Saudia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saudia
Context triple: [SkyTeam, hasMember, Saudia]
  • A. Saudia chosen
    Saudia is the flag carrier airline of Saudi Arabia, operating an extensive network of domestic and international flights across the Middle East, Asia, Africa, Europe, and North America.
  • B. Riyadh Air
    Riyadh Air is a Saudi Arabian airline based in Riyadh, launched to serve as a major global carrier and support the country’s Vision 2030 tourism and economic goals.
  • C. Gulf Air
    Gulf Air is the national flag carrier airline of the Kingdom of Bahrain, operating regional and international flights across the Middle East, Asia, Europe, and Africa.
  • D. Oman Air
    Oman Air is the national airline of Oman, operating regional and international flights from its main hub in Muscat.
  • E. Iraqi Airways
    Iraqi Airways is the national flag carrier airline of Iraq, operating domestic and international passenger and cargo services across the Middle East, Europe, and other regions.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183795100819097be92e6d07dc5b1 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe88a608190bc0a0cbfdb71e81d completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:57 a.m.