Triple

T780680
Position Surface form Disambiguated ID Type / Status
Subject Uzbekistan E16489 entity
Predicate ISO3166-1Alpha3 P189 FINISHED
Object UZB
UZB is the three-letter ISO 3166-1 alpha-3 country code representing Uzbekistan.
 E92058 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: UZB | Statement: [Uzbekistan, ISO3166-1Alpha3, UZB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UZB
Context triple: [Uzbekistan, ISO3166-1Alpha3, UZB]
  • A. UZ
    UZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Uzbekistan.
  • B. Uzbeks
    Uzbeks are a Turkic ethnic group of Central Asia, primarily associated with Uzbekistan but also forming significant communities in neighboring countries such as Afghanistan.
  • C. ZUEL
    ZUEL is a prominent Chinese university specializing in economics, law, and related social sciences, located in Wuhan, Hubei Province.
  • D. USZ
    USZ is a major public teaching hospital in Zurich, Switzerland, affiliated with the University of Zurich and known for its advanced medical care and research.
  • E. Zangezur uezd
    Zangezur uezd was a historical administrative district of the Russian Empire located in the South Caucasus, in the mountainous region now divided between Armenia and Azerbaijan.
  • 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: UZB
Triple: [Uzbekistan, ISO3166-1Alpha3, UZB]
Generated description
UZB is the three-letter ISO 3166-1 alpha-3 country code representing Uzbekistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UZB
Target entity description: UZB is the three-letter ISO 3166-1 alpha-3 country code representing Uzbekistan.
  • A. UZ chosen
    UZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Uzbekistan.
  • B. Uzbeks
    Uzbeks are a Turkic ethnic group of Central Asia, primarily associated with Uzbekistan but also forming significant communities in neighboring countries such as Afghanistan.
  • C. ZUEL
    ZUEL is a prominent Chinese university specializing in economics, law, and related social sciences, located in Wuhan, Hubei Province.
  • D. USZ
    USZ is a major public teaching hospital in Zurich, Switzerland, affiliated with the University of Zurich and known for its advanced medical care and research.
  • E. Zangezur uezd
    Zangezur uezd was a historical administrative district of the Russian Empire located in the South Caucasus, in the mountainous region now divided between Armenia and Azerbaijan.
  • F. None of above.

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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a751ea3481908a622d5255249883 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6733a21bc81909fa8f18cf8e0356a completed March 3, 2026, 5:35 a.m.
NEDg Description generation batch_69a676dd01688190a75f606279630e3b completed March 3, 2026, 5:51 a.m.
NED2 Entity disambiguation (via description) batch_69a677534eb88190bac864e663a900f1 completed March 3, 2026, 5:53 a.m.
Created at: March 1, 2026, 7:37 p.m.