Triple

T15912321
Position Surface form Disambiguated ID Type / Status
Subject Islam Karimov Tashkent International Airport E385878 entity
Predicate IATAcode P418 FINISHED
Object TAS
TAS is the IATA airport code for Islam Karimov Tashkent International Airport, the main international gateway to Tashkent, Uzbekistan.
 E1182592 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: TAS | Statement: [Islam Karimov Tashkent International Airport, IATAcode, TAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TAS
Context triple: [Islam Karimov Tashkent International Airport, IATAcode, TAS]
  • A. TAS
    TAS is the commonly used French acronym for the Court of Arbitration for Sport, an international body that settles sports-related disputes through arbitration.
  • B. TASE
    TASE is the primary stock exchange in Israel, serving as the central marketplace for trading securities in Tel Aviv.
  • C. TA
    TA is the postcode area in southwest England that covers Taunton and surrounding towns including Minehead.
  • D. TA
    TA is a common abbreviation for the Territorial Army, a volunteer reserve force that supports a country's regular armed forces.
  • E. TA
    TA is the standard abbreviation for *Transforming Anthropology*, a peer-reviewed academic journal focusing on critical and innovative scholarship in anthropology.
  • 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: TAS
Triple: [Islam Karimov Tashkent International Airport, IATAcode, TAS]
Generated description
TAS is the IATA airport code for Islam Karimov Tashkent International Airport, the main international gateway to Tashkent, Uzbekistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TAS
Target entity description: TAS is the IATA airport code for Islam Karimov Tashkent International Airport, the main international gateway to Tashkent, Uzbekistan.
  • A. TAS
    TAS is the commonly used French acronym for the Court of Arbitration for Sport, an international body that settles sports-related disputes through arbitration.
  • B. TASE
    TASE is the primary stock exchange in Israel, serving as the central marketplace for trading securities in Tel Aviv.
  • C. TA
    TA is a common abbreviation for the Territorial Army, a volunteer reserve force that supports a country's regular armed forces.
  • D. TA
    TA is the postcode area in southwest England that covers Taunton and surrounding towns including Minehead.
  • E. TA
    TA is the standard abbreviation for *Transforming Anthropology*, a peer-reviewed academic journal focusing on critical and innovative scholarship in anthropology.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156601c988190b9bd0cd75897651b completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0592b5c8190a4597644864a6bcb completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb0ef7f3081908744a759bb3e4e8c completed May 9, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69ffb1dbd7d08190b84ae201e0866139 completed May 9, 2026, 10:14 p.m.
Created at: April 10, 2026, 4:52 a.m.