Triple

T3750191
Position Surface form Disambiguated ID Type / Status
Subject Transavia E81309 entity
Predicate IATACode P418 FINISHED
Object HV
HV is the IATA airline designator used by Transavia, a Dutch low-cost carrier operating scheduled and charter flights across Europe and surrounding regions.
 E383711 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: HV | Statement: [Transavia, IATACode, HV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HV
Context triple: [Transavia, IATACode, HV]
  • A. HF
    HF is the Faculty of Humanities at the University of Oslo, encompassing disciplines such as languages, history, culture, and philosophy.
  • B. HAV
    HAV is the IATA airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • C. HY
    HY is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • D. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • E. HM
    HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
  • 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: HV
Triple: [Transavia, IATACode, HV]
Generated description
HV is the IATA airline designator used by Transavia, a Dutch low-cost carrier operating scheduled and charter flights across Europe and surrounding regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HV
Target entity description: HV is the IATA airline designator used by Transavia, a Dutch low-cost carrier operating scheduled and charter flights across Europe and surrounding regions.
  • A. HF
    HF is the Faculty of Humanities at the University of Oslo, encompassing disciplines such as languages, history, culture, and philosophy.
  • B. HAV
    HAV is the IATA airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • C. HY
    HY is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
  • D. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • E. HM
    HM is an abbreviation commonly used as a formal title for a reigning queen or king, standing for "Her Majesty" or "His Majesty."
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb6d0ac4819092c9a41cc60f518d completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db31f964819087bab143f638754f completed March 14, 2026, 3:51 a.m.
NEDg Description generation batch_69b4dbbc23f08190a03ef4e4197398a4 completed March 14, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69b4dcac6fdc81908998415ffe1aabaa completed March 14, 2026, 3:57 a.m.
Created at: March 8, 2026, 3:35 p.m.