Triple

T10188513
Position Surface form Disambiguated ID Type / Status
Subject Florennes Air Base E236972 entity
Predicate ICAOCode P419 FINISHED
Object EBFS E236972 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: EBFS | Statement: [Florennes Air Base, ICAOCode, EBFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EBFS
Context triple: [Florennes Air Base, ICAOCode, EBFS]
  • A. EBFS chosen
    EBFS is the ICAO airport code for Florennes Air Base, a military airfield in Belgium.
  • B. ESFS
    ESFS is the acronym for the European System of Financial Supervision, the EU’s framework of supervisory authorities and bodies that oversee the stability and proper functioning of its financial system.
  • C. EBFN
    EBFN is the ICAO airport code for Koksijde Air Base, a military airfield in Belgium.
  • D. LFSB
    LFSB is the ICAO airport code for EuroAirport Basel–Mulhouse–Freiburg, the international airport serving the tri-border region of France, Switzerland, and Germany.
  • E. EFS
    EFS is a Windows feature that provides built-in file-level encryption to protect data stored on NTFS volumes.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded7c3278819093312665b54d888c completed April 2, 2026, 4:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317b734a4819085645caea8ba0481 completed April 6, 2026, 2:17 a.m.
Created at: March 30, 2026, 9:12 p.m.