Triple

T5581578
Position Surface form Disambiguated ID Type / Status
Subject Alia Airlines E146651 entity
Predicate IATACode P418 FINISHED
Object RJ E143159 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: RJ | Statement: [Alia Airlines, IATACode, RJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RJ
Context triple: [Alia Airlines, IATACode, RJ]
  • A. RJ chosen
    RJ is the two-letter IATA airline designator assigned to Royal Jordanian, the flag carrier airline of Jordan.
  • B. RJT
    RJT is the IATA airport code assigned to Iruma Air Base, a military airfield in Saitama Prefecture, Japan.
  • C. JRB
    JRB is the IATA airport code for the Wall Street Heliport serving lower Manhattan in New York City.
  • D. JR
    JR is a French street artist and photographer renowned for his large-scale public art installations that transform urban spaces and address social and political issues worldwide.
  • E. JR
    JR is a character from Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," which chronicles the lives and relationships of a diverse group of lesbian friends.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0208147a48190b2cdb42b9c9814a3 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0285baa648190bf8e94740ea62466 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:37 p.m.