Triple

T16600911
Position Surface form Disambiguated ID Type / Status
Subject CODOFIL E403326 entity
Predicate acronym P43 FINISHED
Object CODOFIL E403326 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: CODOFIL | Statement: [CODOFIL, acronym, CODOFIL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CODOFIL
Context triple: [CODOFIL, acronym, CODOFIL]
  • A. CODOFIL chosen
    CODOFIL is a Louisiana state agency dedicated to the preservation, promotion, and development of the French language and Francophone culture in Louisiana.
  • B. CODICEN
    CODICEN is the central governing council responsible for overseeing and coordinating Uruguay’s national public education system.
  • C. Cif
    Cif is a household cleaning product brand known for its creams and sprays used to remove tough dirt and stains from various surfaces.
  • D. COFAP
    COFAP is the Council for Finance and Planning, a regional body responsible for coordinating economic and financial policy among member states.
  • E. COFO
    COFO is the Food and Agriculture Organization’s highest-level statutory body for forestry, bringing together government officials and stakeholders to review and guide international forest policy and management.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d764574819081366374ca0c9bea completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075a48c088190b6585e42dcd73705 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:17 a.m.