Triple

T716698
Position Surface form Disambiguated ID Type / Status
Subject Antalya E14330 entity
Predicate airportIATA P418 FINISHED
Object AYT
AYT is the IATA airport code for Antalya Airport, a major international gateway serving the resort city of Antalya on Turkey’s Mediterranean coast.
 E84719 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: AYT | Statement: [Antalya, airportIATA, AYT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AYT
Context triple: [Antalya, airportIATA, AYT]
  • A. YAKT
    YAKT is the time zone abbreviation for Yakutsk Time, used in parts of eastern Russia.
  • B. RYAAY
    RYAAY is the NASDAQ-listed American Depositary Receipt (ADR) representing shares of Ryanair Holdings plc, the Irish low-cost airline group.
  • C. AT4
    AT4 is an off-road-focused trim level of the GMC Sierra pickup truck, featuring enhanced suspension, rugged styling, and all-terrain capability.
  • D. YAKST
    YAKST is the time zone abbreviation used for Yakutsk Summer Time in eastern Russia.
  • E. ATE
    ATE is a U.S. National Science Foundation program that supports the education and training of technicians for advanced technology fields through partnerships between two-year colleges, industry, and other educational institutions.
  • 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: AYT
Triple: [Antalya, airportIATA, AYT]
Generated description
AYT is the IATA airport code for Antalya Airport, a major international gateway serving the resort city of Antalya on Turkey’s Mediterranean coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AYT
Target entity description: AYT is the IATA airport code for Antalya Airport, a major international gateway serving the resort city of Antalya on Turkey’s Mediterranean coast.
  • A. YAKT
    YAKT is the time zone abbreviation for Yakutsk Time, used in parts of eastern Russia.
  • B. RYAAY
    RYAAY is the NASDAQ-listed American Depositary Receipt (ADR) representing shares of Ryanair Holdings plc, the Irish low-cost airline group.
  • C. AT4
    AT4 is an off-road-focused trim level of the GMC Sierra pickup truck, featuring enhanced suspension, rugged styling, and all-terrain capability.
  • D. YAKST
    YAKST is the time zone abbreviation used for Yakutsk Summer Time in eastern Russia.
  • E. ATE
    ATE is a U.S. National Science Foundation program that supports the education and training of technicians for advanced technology fields through partnerships between two-year colleges, industry, and other educational institutions.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a57649dc8190bfdee2f9c0c90415 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dcb5578c8190b5380f1994fdb4d2 completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a601200cb08190927e83db83b3affe completed March 2, 2026, 9:29 p.m.
NED2 Entity disambiguation (via description) batch_69a601b8ee908190b7e617efe34f3d7a completed March 2, 2026, 9:31 p.m.
Created at: March 1, 2026, 7:37 p.m.