Triple

T12397740
Position Surface form Disambiguated ID Type / Status
Subject Dijon FCO E296160 entity
Predicate hasAbbreviation P43 FINISHED
Object DFCO
DFCO is the commonly used abbreviation for Dijon FCO, a French professional football club based in Dijon.
 E982477 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: DFCO | Statement: [Dijon FCO, hasAbbreviation, DFCO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DFCO
Context triple: [Dijon FCO, hasAbbreviation, DFCO]
  • A. DFC
    DFC is the commonly used abbreviation for the Distinguished Flying Cross, a military decoration awarded for exceptional courage or achievement during aerial operations.
  • B. DACF
    DACF is the commonly used acronym for the Maine Department of Agriculture, Conservation and Forestry, the state agency responsible for managing Maine’s agricultural, forestry, and natural resources.
  • C. DCFA
    DCFA is the abbreviation for the Dominion of Canada Football Association, the former governing body for soccer in Canada.
  • D. DRFC
    DRFC is the commonly used abbreviation for Doncaster Rovers Football Club, an English professional football team based in Doncaster, South Yorkshire.
  • E. DWCF
    DWCF is the ticker symbol for the Dow Jones U.S. Total Stock Market Index, a broad benchmark tracking the performance of the overall U.S. equity market.
  • 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: DFCO
Triple: [Dijon FCO, hasAbbreviation, DFCO]
Generated description
DFCO is the commonly used abbreviation for Dijon FCO, a French professional football club based in Dijon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DFCO
Target entity description: DFCO is the commonly used abbreviation for Dijon FCO, a French professional football club based in Dijon.
  • A. DFC
    DFC is the commonly used abbreviation for the Distinguished Flying Cross, a military decoration awarded for exceptional courage or achievement during aerial operations.
  • B. DACF
    DACF is the commonly used acronym for the Maine Department of Agriculture, Conservation and Forestry, the state agency responsible for managing Maine’s agricultural, forestry, and natural resources.
  • C. DCFA
    DCFA is the abbreviation for the Dominion of Canada Football Association, the former governing body for soccer in Canada.
  • D. DRFC
    DRFC is the commonly used abbreviation for Doncaster Rovers Football Club, an English professional football team based in Doncaster, South Yorkshire.
  • E. DWCF
    DWCF is the ticker symbol for the Dow Jones U.S. Total Stock Market Index, a broad benchmark tracking the performance of the overall U.S. equity market.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd448f08190af425a569d7ed158 completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63480a8bc8190885130f63a3ec761 completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f638cbb6dc8190a80ffe3430337855 completed May 2, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_69f6397a3458819095b94ae7f9d5f106 completed May 2, 2026, 5:50 p.m.
Created at: April 8, 2026, 9:54 p.m.