Triple

T12353875
Position Surface form Disambiguated ID Type / Status
Subject Nevşehir Kapadokya Airport E294558 entity
Predicate ICAOcode P419 FINISHED
Object LTAZ
LTAZ is the ICAO airport code for Nevşehir Kapadokya Airport, which serves the Cappadocia region of central Turkey.
E979822 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: LTAZ | Statement: [Nevşehir Kapadokya Airport, ICAOcode, LTAZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LTAZ
Context triple: [Nevşehir Kapadokya Airport, ICAOcode, LTAZ]
  • A. LTAJ
    LTAJ is the ICAO airport code for Oğuzeli Airport, an airfield serving the Gaziantep region in southeastern Turkey.
  • B. ATZ
    ATZ is the IATA airport code for Assiut Airport, a regional airport serving the city of Assiut in Egypt.
  • C. LAT
    LAT is the Large Area Telescope, a high-energy gamma-ray detector aboard NASA's Fermi Gamma-ray Space Telescope used to study cosmic gamma-ray sources.
  • D. LAT
    LAT is the International Ice Hockey Federation (IIHF) country code used to represent the Latvia men's national ice hockey team in international competitions.
  • E. LIAT
    LIAT is a regional airline based in the Caribbean that operates short-haul flights connecting numerous islands across the region.
  • 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: LTAZ
Triple: [Nevşehir Kapadokya Airport, ICAOcode, LTAZ]
Generated description
LTAZ is the ICAO airport code for Nevşehir Kapadokya Airport, which serves the Cappadocia region of central Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LTAZ
Target entity description: LTAZ is the ICAO airport code for Nevşehir Kapadokya Airport, which serves the Cappadocia region of central Turkey.
  • A. LTAJ
    LTAJ is the ICAO airport code for Oğuzeli Airport, an airfield serving the Gaziantep region in southeastern Turkey.
  • B. ATZ
    ATZ is the IATA airport code for Assiut Airport, a regional airport serving the city of Assiut in Egypt.
  • C. LAT
    LAT is the Large Area Telescope, a high-energy gamma-ray detector aboard NASA's Fermi Gamma-ray Space Telescope used to study cosmic gamma-ray sources.
  • D. LAT
    LAT is the International Ice Hockey Federation (IIHF) country code used to represent the Latvia men's national ice hockey team in international competitions.
  • E. LIAT
    LIAT is a regional airline based in the Caribbean that operates short-haul flights connecting numerous islands across the region.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f8bc60c8190b0ceb84093e70db4 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ab2dc30819082b12fa35f585762 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62be420308190bcb00d8b37b09ea2 completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f63050f5d48190881688d12c4c1819 completed May 2, 2026, 5:11 p.m.
Created at: April 8, 2026, 9:54 p.m.