Triple

T10852207
Position Surface form Disambiguated ID Type / Status
Subject FC Midtjylland E256172 entity
Predicate abbreviation P43 FINISHED
Object FCM E888858 NE FINISHED

How this triple was built (2 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: FCM | Statement: [FC Midtjylland, abbreviation, FCM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FCM
Context triple: [FC Midtjylland, abbreviation, FCM]
  • A. FCM
    FCM is the ICAO airline designator used to identify Nordic Regional Airlines in international aviation operations.
  • B. FCM chosen
    FCM is the commonly used abbreviation for FC Midtjylland, a professional Danish football club based in Herning and Ikast.
  • C. GCM
    GCM (Galois/Counter Mode) is an authenticated encryption mode for block ciphers that provides both data confidentiality and integrity with high performance and parallelizability.
  • D. GCM
    GCM is the commonly used abbreviation for Grand Central Madison, a Long Island Rail Road terminal located beneath Grand Central Terminal in New York City.
  • E. Apple Push Notification service
    Apple Push Notification service is Apple’s cloud-based system for delivering real-time notifications and messages to iOS, macOS, watchOS, and tvOS devices.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75117b76c8190b0fb216b1428c3c7 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7cc0d648190afb0ce80bac7f3dc completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.