Triple

T16800642
Position Surface form Disambiguated ID Type / Status
Subject Veterans' Judicial Review Act E408343 entity
Predicate hasAbbreviation P43 FINISHED
Object VJRA E408343 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: VJRA | Statement: [Veterans' Judicial Review Act, hasAbbreviation, VJRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VJRA
Context triple: [Veterans' Judicial Review Act, hasAbbreviation, VJRA]
  • A. VJRA chosen
    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.
  • B. VJ
    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.
  • C. VGRJ
    VGRJ is the ICAO airport code for Shah Makhdum Airport, a regional airport serving Rajshahi in Bangladesh.
  • D. VAJM
    VAJM is the ICAO airport code for Jamnagar Airport in Jamnagar, Gujarat, India.
  • E. 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.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2c826808190aa0a5bfcde2e49a8 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab1598dc81909fa5118e739a3291 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.