Triple

T17083166
Position Surface form Disambiguated ID Type / Status
Subject Wittmundhafen Air Base E414525 entity
Predicate hasIataCode P2569 FINISHED
Object WVN
WVN is the IATA airport code for Wittmundhafen Air Base, a military airfield in Wittmund, Germany.
 E1250268 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: WVN | Statement: [Wittmundhafen Air Base, hasIataCode, WVN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WVN
Context triple: [Wittmundhafen Air Base, hasIataCode, WVN]
  • A. KVWN
    KVWN is the fictional San Diego television news station featured in the comedy film "Anchorman: The Legend of Ron Burgundy."
  • B. WVIT
    WVIT is an NBC-owned and operated television station serving the Hartford–New Haven, Connecticut market.
  • C. WSV
    WSV is the German Federal Waterways and Shipping Administration responsible for managing and maintaining the country’s federal waterways and ensuring safe and efficient shipping.
  • D. WJN
    WJN is the station code for Wayne Junction, a major regional rail hub in Philadelphia, Pennsylvania.
  • E. WLV
    WLV is the National Rail station code for Wallasey Village railway station on the Wirral Line in Merseyside, England.
  • 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: WVN
Triple: [Wittmundhafen Air Base, hasIataCode, WVN]
Generated description
WVN is the IATA airport code for Wittmundhafen Air Base, a military airfield in Wittmund, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WVN
Target entity description: WVN is the IATA airport code for Wittmundhafen Air Base, a military airfield in Wittmund, Germany.
  • A. KVWN
    KVWN is the fictional San Diego television news station featured in the comedy film "Anchorman: The Legend of Ron Burgundy."
  • B. WVIT
    WVIT is an NBC-owned and operated television station serving the Hartford–New Haven, Connecticut market.
  • C. WSV
    WSV is the German Federal Waterways and Shipping Administration responsible for managing and maintaining the country’s federal waterways and ensuring safe and efficient shipping.
  • D. WJN
    WJN is the station code for Wayne Junction, a major regional rail hub in Philadelphia, Pennsylvania.
  • E. WLV
    WLV is the National Rail station code for Wallasey Village railway station on the Wirral Line in Merseyside, England.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe4d3908190b23ce3c2d3fe7d14 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee416c4819087e7ae0ead47867a completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a01323dd9188190981d6994a8d1a89e completed May 11, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0136310e808190a0d350ae7f216d93 completed May 11, 2026, 1:51 a.m.
Created at: April 10, 2026, 5:35 a.m.