Triple

T12397719
Position Surface form Disambiguated ID Type / Status
Subject Dijon FCO E296160 entity
Predicate nickname P55 FINISHED
Object Le DFCO
Le DFCO is the commonly used nickname for Dijon FCO, a French professional football club based in Dijon.
 E982475 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: Le DFCO | Statement: [Dijon FCO, nickname, Le DFCO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Le DFCO
Context triple: [Dijon FCO, nickname, Le DFCO]
  • A. The Aphilliates
    The Aphilliates is a hip-hop DJ collective and music brand best known for its influential mixtapes and association with DJ Drama.
  • B. Fulcrum
    Fulcrum is the NATO reporting name for the Soviet-designed Mikoyan MiG-29, a highly maneuverable fourth-generation multirole fighter aircraft.
  • C. Fulcrum
    Fulcrum is a large-scale, site-specific steel sculpture by American artist Richard Serra, known for its towering, leaning plates that dramatically alter viewers’ perception of space.
  • D. Doxa
    Doxa was a Hellenic Navy destroyer that previously served in the U.S. Navy as USS Ludlow (DD-438) before being transferred and renamed in Greek service.
  • E. Talifuguen
    Talifuguen is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
  • 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: Le DFCO
Triple: [Dijon FCO, nickname, Le DFCO]
Generated description
Le DFCO is the commonly used nickname for Dijon FCO, a French professional football club based in Dijon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Le DFCO
Target entity description: Le DFCO is the commonly used nickname for Dijon FCO, a French professional football club based in Dijon.
  • A. The Aphilliates
    The Aphilliates is a hip-hop DJ collective and music brand best known for its influential mixtapes and association with DJ Drama.
  • B. Fulcrum
    Fulcrum is the NATO reporting name for the Soviet-designed Mikoyan MiG-29, a highly maneuverable fourth-generation multirole fighter aircraft.
  • C. Fulcrum
    Fulcrum is a large-scale, site-specific steel sculpture by American artist Richard Serra, known for its towering, leaning plates that dramatically alter viewers’ perception of space.
  • D. Doxa
    Doxa was a Hellenic Navy destroyer that previously served in the U.S. Navy as USS Ludlow (DD-438) before being transferred and renamed in Greek service.
  • E. Talifuguen
    Talifuguen is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
  • 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.