Triple

T8011730
Position Surface form Disambiguated ID Type / Status
Subject RAF Fowlmere E186508 entity
Predicate hasStationCode P1289 FINISHED
Object FWE
FWE is the station code for RAF Fowlmere, a former Royal Air Force airfield in Cambridgeshire, England that was active during both World Wars.
E707406 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: FWE | Statement: [RAF Fowlmere, hasStationCode, FWE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FWE
Context triple: [RAF Fowlmere, hasStationCode, FWE]
  • A. FW
    FW refers to the Free Voters (Freie Wähler), a German political association and party known for its strong local-government focus and presence in Bavarian municipal and regional politics.
  • B. FW
    FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
  • C. FLE
    FLE is the ICAO airline designator assigned to Flair Airlines, a Canadian ultra-low-cost carrier.
  • D. FBBE
    FBBE is the regulatory body responsible for overseeing bar admissions and character and fitness evaluations for prospective lawyers in the state of Florida.
  • E. FWA
    FWA is the commonly used abbreviation for Fort Wayne Assembly, an automotive manufacturing facility located in Fort Wayne, Indiana.
  • 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: FWE
Triple: [RAF Fowlmere, hasStationCode, FWE]
Generated description
FWE is the station code for RAF Fowlmere, a former Royal Air Force airfield in Cambridgeshire, England that was active during both World Wars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FWE
Target entity description: FWE is the station code for RAF Fowlmere, a former Royal Air Force airfield in Cambridgeshire, England that was active during both World Wars.
  • A. FW
    FW refers to the Free Voters (Freie Wähler), a German political association and party known for its strong local-government focus and presence in Bavarian municipal and regional politics.
  • B. FW
    FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
  • C. FLE
    FLE is the ICAO airline designator assigned to Flair Airlines, a Canadian ultra-low-cost carrier.
  • D. FBBE
    FBBE is the regulatory body responsible for overseeing bar admissions and character and fitness evaluations for prospective lawyers in the state of Florida.
  • E. FWA
    FWA is the commonly used abbreviation for Fort Wayne Assembly, an automotive manufacturing facility located in Fort Wayne, Indiana.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d722fbc8190b22745b581421f16 completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56acfcf88190a0e694f60f2907d2 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58a9e94081908980e2c60be38642 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cb791b48190bd5004b518d23f84 completed March 31, 2026, 11:45 p.m.
Created at: March 30, 2026, 5:19 p.m.