Triple

T2144883
Position Surface form Disambiguated ID Type / Status
Subject Florennes Air Base E47040 entity
Predicate ICAOCode P419 FINISHED
Object EBFS
EBFS is the ICAO airport code for Florennes Air Base, a military airfield in Belgium.
 E236972 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: 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. BSF
    BSF is India’s primary border guarding organization responsible for securing the country’s land borders during both peace and wartime.
  • B. BF
    BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
  • C. BF
    BF is the two-letter ISO 3166-1 alpha-2 country code assigned to Burkina Faso.
  • D. BFS
    BFS is the three-letter IATA airport code assigned to Belfast International Airport in Northern Ireland.
  • E. JFS
    JFS (Journaled File System) is a high-performance journaling file system developed by IBM, known for its scalability, low CPU usage, and reliability on enterprise and Linux systems.
  • 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: EBFS
Triple: [Florennes Air Base, ICAOCode, EBFS]
Generated description
EBFS is the ICAO airport code for Florennes Air Base, a military airfield in Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EBFS
Target entity description: EBFS is the ICAO airport code for Florennes Air Base, a military airfield in Belgium.
  • A. BSF
    BSF is India’s primary border guarding organization responsible for securing the country’s land borders during both peace and wartime.
  • B. BF
    BF is the IATA airline designator for French Bee, a French low-cost long-haul carrier.
  • C. BF
    BF is the two-letter ISO 3166-1 alpha-2 country code assigned to Burkina Faso.
  • D. BFS
    BFS is the three-letter IATA airport code assigned to Belfast International Airport in Northern Ireland.
  • E. JFS
    JFS (Journaled File System) is a high-performance journaling file system developed by IBM, known for its scalability, low CPU usage, and reliability on enterprise and Linux systems.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe243e248190848bb1b86047f980 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51b8152c81908c66d389bf14dc7e completed March 9, 2026, 4:51 a.m.
NEDg Description generation batch_69ae522f0394819087a7e7d9c6ca354c completed March 9, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae5316acf881908dde9d83c36c8fd0 completed March 9, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:44 p.m.