Triple

T8442806
Position Surface form Disambiguated ID Type / Status
Subject VietJet Air E199589 entity
Predicate IATAcode P418 FINISHED
Object VJ E402516 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: VJ | Statement: [VietJet Air, IATAcode, VJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VJ
Context triple: [VietJet Air, IATAcode, VJ]
  • A. VJ chosen
    VJ is the abbreviation for the Yugoslav Army, the armed forces of the former Federal Republic of Yugoslavia active during the 1990s and early 2000s.
  • B. VJRA
    VJRA is a U.S. federal law that established judicial review of veterans’ benefits decisions, creating a specialized court system to handle appeals from the Department of Veterans Affairs.
  • C. VIJO
    VIJO is the ICAO airport code assigned to Jodhpur Airport in Rajasthan, India.
  • D. VJIL
    VJIL is the abbreviation for the Virginia Journal of International Law, a leading student-edited law review focusing on international and comparative legal issues.
  • E. VGRJ
    VGRJ is the ICAO airport code for Shah Makhdum Airport, a regional airport serving Rajshahi in Bangladesh.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe310d8e08190b871bda79acde678 completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1da3a99481909c9beae665bb5b83 completed April 2, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:08 p.m.