Triple

T10319194
Position Surface form Disambiguated ID Type / Status
Subject FC Astana E242095 entity
Predicate hasAbbreviation P43 FINISHED
Object FCA
FCA is the commonly used abbreviation for FC Astana, a professional football club based in Astana, Kazakhstan.
 E855188 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: FCA | Statement: [FC Astana, hasAbbreviation, FCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FCA
Context triple: [FC Astana, hasAbbreviation, FCA]
  • A. FCA
    The FCA is the United Kingdom’s main financial regulatory body responsible for overseeing financial markets, firms, and consumer protection.
  • B. FCA
    FCA is the commonly used abbreviation for the Federal Court of Appeal, a Canadian appellate court that hears cases from federal boards, tribunals, and the Federal Court.
  • C. FAW
    FAW is the commonly used abbreviation for the Football Association of Wales, the governing body for football in Wales.
  • D. Crysler
    Crysler is a small rural community in Eastern Ontario, Canada, known for its agricultural surroundings and close-knit local population.
  • E. Fiat
    Fiat is an Italian automobile manufacturer known for producing compact city cars and mass-market vehicles, now operating as a brand within the multinational automotive group Stellantis.
  • 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: FCA
Triple: [FC Astana, hasAbbreviation, FCA]
Generated description
FCA is the commonly used abbreviation for FC Astana, a professional football club based in Astana, Kazakhstan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FCA
Target entity description: FCA is the commonly used abbreviation for FC Astana, a professional football club based in Astana, Kazakhstan.
  • A. FCA
    The FCA is the United Kingdom’s main financial regulatory body responsible for overseeing financial markets, firms, and consumer protection.
  • B. FCA
    FCA is the commonly used abbreviation for the Federal Court of Appeal, a Canadian appellate court that hears cases from federal boards, tribunals, and the Federal Court.
  • C. FAW
    FAW is the commonly used abbreviation for the Football Association of Wales, the governing body for football in Wales.
  • D. Crysler
    Crysler is a small rural community in Eastern Ontario, Canada, known for its agricultural surroundings and close-knit local population.
  • E. Fiat
    Fiat is an Italian automobile manufacturer known for producing compact city cars and mass-market vehicles, now operating as a brand within the multinational automotive group Stellantis.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6ca62b48190844b4cbf55d53a43 completed April 7, 2026, 10:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d94aba48190aa40201d46f7ba2f completed April 9, 2026, 3:31 a.m.
NEDg Description generation batch_69d7318755b881908e9ea4f1dfcf7da2 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d73285e0688190a98708477527bbee completed April 9, 2026, 5 a.m.
Created at: April 6, 2026, 11:49 a.m.