Triple

T16293350
Position Surface form Disambiguated ID Type / Status
Subject FC Rouen E395580 entity
Predicate abbreviation P43 FINISHED
Object FCR
FCR is the commonly used abbreviation for FC Rouen, a French football club based in Rouen.
 E1206080 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: FCR | Statement: [FC Rouen, abbreviation, FCR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FCR
Context triple: [FC Rouen, abbreviation, FCR]
  • A. FC
    FC is the standard abbreviation for the Federal Court of Canada, a national trial court that hears cases involving federal law.
  • B. FC
    FC is the standard abbreviation for Fibre Channel, a high-speed network technology primarily used to connect computer data storage in storage area networks.
  • C. FC
    FC is the vehicle registration and administrative code used to identify the Italian province of Forlì-Cesena.
  • D. FAFC
    FAFC is the common abbreviation for Forfar Athletic Football Club, a Scottish professional football team based in the town of Forfar.
  • E. FCF
    FCF is the football federation that organizes and oversees football activities and competitions in Catalonia.
  • 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: FCR
Triple: [FC Rouen, abbreviation, FCR]
Generated description
FCR is the commonly used abbreviation for FC Rouen, a French football club based in Rouen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FCR
Target entity description: FCR is the commonly used abbreviation for FC Rouen, a French football club based in Rouen.
  • A. FC
    FC is the standard abbreviation for the Federal Court of Canada, a national trial court that hears cases involving federal law.
  • B. FC
    FC is the standard abbreviation for Fibre Channel, a high-speed network technology primarily used to connect computer data storage in storage area networks.
  • C. FC
    FC is the vehicle registration and administrative code used to identify the Italian province of Forlì-Cesena.
  • D. FAFC
    FAFC is the common abbreviation for Forfar Athletic Football Club, a Scottish professional football team based in the town of Forfar.
  • E. FCF
    FCF is the football federation that organizes and oversees football activities and competitions in Catalonia.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2aee6881909fd28547f135427c completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9965b8819080278ccef15288aa completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a0021459c4081908e4c1d2e0bc8a5be completed May 10, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_6a002221fe7c819083c8ede5e63b0908 completed May 10, 2026, 6:13 a.m.
Created at: April 10, 2026, 5:05 a.m.