Triple

T3676807
Position Surface form Disambiguated ID Type / Status
Subject Law Enforcement Assistance Administration E78011 entity
Predicate abbreviation P43 FINISHED
Object LEAA E78011 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: LEAA | Statement: [Law Enforcement Assistance Administration, abbreviation, LEAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LEAA
Context triple: [Law Enforcement Assistance Administration, abbreviation, LEAA]
  • A. LEAs
    LEAs are Local Education Authorities in England and Wales responsible for overseeing public education provision within their areas.
  • B. Law Enforcement Assistance Administration chosen
    The Law Enforcement Assistance Administration was a former U.S. federal agency within the Department of Justice that provided funding and support to state and local law enforcement and criminal justice programs in the 1960s–1980s.
  • C. LAA
    LAA is the standard Major League Baseball abbreviation for the Los Angeles Angels franchise.
  • D. LLHA
    LLHA is the ICAO airport code assigned to Haifa Airport in Haifa, Israel.
  • E. ALLEA
    ALLEA (All European Academies) is a European federation that brings together national academies of sciences and humanities to promote science, scholarship, and evidence-based policy across Europe.
  • 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_69ad85e18c1c8190be8aafb227f39f48 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4643cf08190b2d10ddf4aac7407 completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3a50d40819081aad0c72bcaee9d completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:25 p.m.