Triple

T16680557
Position Surface form Disambiguated ID Type / Status
Subject Lithuanian Air Force E405326 entity
Predicate shortName P43 FINISHED
Object LAF E924347 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: LAF | Statement: [Lithuanian Air Force, shortName, LAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LAF
Context triple: [Lithuanian Air Force, shortName, LAF]
  • A. LAF
    The Lebanese Armed Forces (LAF) are the military institution of Lebanon, responsible for defending the country’s sovereignty, maintaining internal security, and operating under a delicate sectarian balance.
  • B. LAF chosen
    LAF is the acronym commonly used to refer to the Lithuanian Armed Forces, the military organization responsible for Lithuania’s national defense.
  • C. LFA
    LFA is the governing body responsible for overseeing and organizing football activities and competitions in Liberia.
  • D. LAC
    LAC is the Large Area Counter, a primary X-ray detection instrument used on the Japanese Ginga astronomy satellite to study cosmic X-ray sources.
  • E. LAC
    LAC is the standard abbreviation for the La Crosse Loggers baseball team.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6f5cf481909e7628bbaa884e5a completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3e2ddc8190a59108cdf001dac2 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.