Triple

T3765898
Position Surface form Disambiguated ID Type / Status
Subject TAV Airports E82675 entity
Predicate subsidiary P258 FINISHED
Object Havaş
Havaş is a Turkish ground handling and airport services company operating at numerous airports domestically and internationally.
 E386835 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: Havaş | Statement: [TAV Airports, subsidiary, Havaş]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Havaş
Context triple: [TAV Airports, subsidiary, Havaş]
  • A. Kaymaklı
    Kaymaklı is an ancient multi-level underground city in Turkey’s Cappadocia region, renowned for its extensive tunnels, living quarters, and historical use as a refuge.
  • B. Wukari
    Wukari is a historic town in present-day Taraba State, Nigeria, long associated with the Jukun people and the traditional Wukari Federation.
  • C. Turkmeneli
    Turkmeneli is a culturally distinct region in northern Iraq traditionally inhabited by the Iraqi Turkmen minority, known for its unique Turkmen heritage, language, and traditions.
  • D. Akyurt
    Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
  • E. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • 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: Havaş
Triple: [TAV Airports, subsidiary, Havaş]
Generated description
Havaş is a Turkish ground handling and airport services company operating at numerous airports domestically and internationally.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Havaş
Target entity description: Havaş is a Turkish ground handling and airport services company operating at numerous airports domestically and internationally.
  • A. Kaymaklı
    Kaymaklı is an ancient multi-level underground city in Turkey’s Cappadocia region, renowned for its extensive tunnels, living quarters, and historical use as a refuge.
  • B. Wukari
    Wukari is a historic town in present-day Taraba State, Nigeria, long associated with the Jukun people and the traditional Wukari Federation.
  • C. Turkmeneli
    Turkmeneli is a culturally distinct region in northern Iraq traditionally inhabited by the Iraqi Turkmen minority, known for its unique Turkmen heritage, language, and traditions.
  • D. Akyurt
    Akyurt is a district and rapidly developing suburban area of Ankara in central Turkey, known for its industrial zones and proximity to the capital’s airport.
  • E. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfeb52081909c38103beb5dbdcd completed March 8, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5221ab08190a3599afbbd5dbc6e completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e5f07c7081908e1aae715984aac4 completed March 14, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69b4e6531b48819083c0d14c2ca4f7c1 completed March 14, 2026, 4:38 a.m.
Created at: March 8, 2026, 3:35 p.m.