Triple

T13843038
Position Surface form Disambiguated ID Type / Status
Subject Air Caraïbes E332714 entity
Predicate ICAOcode P419 FINISHED
Object FWI
FWI is the ICAO airline designator used for Air Caraïbes, a French Caribbean regional airline.
 E1064317 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: FWI | Statement: [Air Caraïbes, ICAOcode, FWI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FWI
Context triple: [Air Caraïbes, ICAOcode, FWI]
  • A. FNWI
    FNWI is the Faculty of Science of the University of Amsterdam, encompassing a broad range of natural sciences, mathematics, and computer science education and research.
  • B. FWN
    FWN is the standard abbreviation used for the Fort Wayne TinCaps, a Minor League Baseball team based in Fort Wayne, Indiana.
  • C. 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.
  • D. FW
    FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
  • E. FW
    FW is the designation used for the series of Formula One racing car chassis developed and raced by the Williams Grand Prix Engineering team.
  • 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: FWI
Triple: [Air Caraïbes, ICAOcode, FWI]
Generated description
FWI is the ICAO airline designator used for Air Caraïbes, a French Caribbean regional airline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FWI
Target entity description: FWI is the ICAO airline designator used for Air Caraïbes, a French Caribbean regional airline.
  • A. FNWI
    FNWI is the Faculty of Science of the University of Amsterdam, encompassing a broad range of natural sciences, mathematics, and computer science education and research.
  • B. FWN
    FWN is the standard abbreviation used for the Fort Wayne TinCaps, a Minor League Baseball team based in Fort Wayne, Indiana.
  • C. 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.
  • D. FW
    FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
  • E. FW
    FW is the designation used for the series of Formula One racing car chassis developed and raced by the Williams Grand Prix Engineering team.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02afce788190a74dce4e6a3569fa completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f87c188190b90faf7678cb9ad4 completed May 3, 2026, 9:07 p.m.
NEDg Description generation batch_69f7b9da1f848190a0c7e8d8a2b0954d completed May 3, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7bbf47c888190be32a4105903120a completed May 3, 2026, 9:19 p.m.
Created at: April 9, 2026, 10:13 p.m.