Triple

T5501278
Position Surface form Disambiguated ID Type / Status
Subject ШОС E144333 entity
Predicate штабКвартираРАТС P52556 FINISHED
Object Ташкент E81695 NE FINISHED

How this triple was built (3 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: Ташкент | Statement: [ШОС, штабКвартираРАТС, Ташкент]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ташкент
Context triple: [ШОС, штабКвартираРАТС, Ташкент]
  • A. Tashkent chosen
    Tashkent is the capital and largest city of Uzbekistan, a major cultural and economic hub in Central Asia with deep historical ties to the Islamic world.
  • B. Taşkent
    Taşkent is a small mountainous district and town in Turkey’s Konya Province, known for its rural character and scenic Anatolian landscape.
  • C. Nukus
    Nukus is the capital of the autonomous Republic of Karakalpakstan in western Uzbekistan, known for its remote desert location and the renowned Nukus Museum of Art.
  • D. Yoshkar-Ola
    Yoshkar-Ola is a city in central Russia that serves as the administrative, cultural, and economic center of the Mari El Republic.
  • E. Navoi
    Navoi is an industrial city in central Uzbekistan known for its mining, metallurgy, and chemical industries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: штабКвартираРАТС
Context triple: [ШОС, штабКвартираРАТС, Ташкент]
  • A. servesAsHubForFlagCarrierOf
    Indicates that a location or facility functions as a primary hub for the national flag carrier airline of a given country or region.
  • B. servesAsThroughStationFor
    Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
  • C. terminusCity
    Indicates that a transportation route or service ends or has its final stop in a particular city.
  • D. headquartersStation chosen
    Indicates that a particular station serves as the main headquarters location for an organization or entity.
  • E. terminusStation
    Indicates that a station serves as the final endpoint or terminal stop for a given route or service.
  • F. None of above.

Provenance (4 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_69c008f5a2748190bce7a39aabf87a6d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f08c2a4819093e772a1497c7ecc completed March 22, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027a10fa08190853d45354fd9b044 completed March 22, 2026, 5:32 p.m.
PD Predicate disambiguation batch_69c01b052f3c81909f71c6add0f35a6f completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:32 p.m.