Triple

T3981806
Position Surface form Disambiguated ID Type / Status
Subject Louisiana French E85773 entity
Predicate hasOrganization P629 FINISHED
Object CODOFIL
CODOFIL is a Louisiana state agency dedicated to the preservation, promotion, and development of the French language and Francophone culture in Louisiana.
 E403326 NE FINISHED

How this triple was built (4 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: [Louisiana French, hasOrganization, CODOFIL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CODOFIL
Context triple: [Louisiana French, hasOrganization, CODOFIL]
  • A. Cif
    Cif is a household cleaning product brand known for its creams and sprays used to remove tough dirt and stains from various surfaces.
  • B. COF
    COF is the stock ticker symbol for Capital One Financial Corporation, a major U.S.-based bank holding company specializing in credit cards, auto loans, banking, and savings products.
  • C. CADA
    CADA is a Colorado state civil rights law that prohibits discrimination in areas such as employment, housing, and public accommodations.
  • D. CIEF
    CIEF is the abbreviated name for the Canton Fair, China’s largest and oldest comprehensive trade exhibition held biannually in Guangzhou.
  • E. COT
    COT is the standard time observed in Colombia, corresponding to UTC−05:00 without daylight saving time.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CODOFIL
Triple: [Louisiana French, hasOrganization, CODOFIL]
Generated description
CODOFIL is a Louisiana state agency dedicated to the preservation, promotion, and development of the French language and Francophone culture in Louisiana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CODOFIL
Target entity description: CODOFIL is a Louisiana state agency dedicated to the preservation, promotion, and development of the French language and Francophone culture in Louisiana.
  • A. Cif
    Cif is a household cleaning product brand known for its creams and sprays used to remove tough dirt and stains from various surfaces.
  • B. COF
    COF is the stock ticker symbol for Capital One Financial Corporation, a major U.S.-based bank holding company specializing in credit cards, auto loans, banking, and savings products.
  • C. CADA
    CADA is a Colorado state civil rights law that prohibits discrimination in areas such as employment, housing, and public accommodations.
  • D. CIEF
    CIEF is the abbreviated name for the Canton Fair, China’s largest and oldest comprehensive trade exhibition held biannually in Guangzhou.
  • E. COT
    COT is the standard time observed in Colombia, corresponding to UTC−05:00 without daylight saving time.
  • F. None of above. chosen

Provenance (5 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9db804c8190ad96656cb7b1a4fe completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b540257c188190899b00bf1d0247d2 completed March 14, 2026, 11:01 a.m.
NEDg Description generation batch_69b54111e5188190ab8ec23124c22981 completed March 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69b54193105c81909e2a4e368aae36e8 completed March 14, 2026, 11:08 a.m.
Created at: March 9, 2026, 3:33 p.m.