Triple

T8368124
Position Surface form Disambiguated ID Type / Status
Subject Urzhum E197384 entity
Predicate hasNameInLanguage P15 FINISHED
Object Urzhum (English)
Urzhum is a small historic town in Kirov Oblast, Russia, known for its traditional architecture and role as a local administrative and cultural center.
 E728213 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: Urzhum (English) | Statement: [Urzhum, hasNameInLanguage, Urzhum (English)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Urzhum (English)
Context triple: [Urzhum, hasNameInLanguage, Urzhum (English)]
  • A. URU
    URU is the FIFA country code used to represent the Uruguay national football team in international competitions and rankings.
  • B. Uryzmag
    Uryzmag is a prominent hero and patriarchal figure in the Ossetian Nart sagas, often portrayed as a wise and authoritative leader of the Narts.
  • C. Uyar
    Uyar is a Turkish surname most notably associated with the influential modernist poet Turgut Uyar.
  • D. URMO
    URMO is the ICAO airport code for Beslan Airport, which serves the city of Vladikavkaz in North Ossetia–Alania, Russia.
  • E. URM
    URM is the National Rail station code for Urmston railway station in Greater Manchester, England.
  • 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: Urzhum (English)
Triple: [Urzhum, hasNameInLanguage, Urzhum (English)]
Generated description
Urzhum is a small historic town in Kirov Oblast, Russia, known for its traditional architecture and role as a local administrative and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Urzhum (English)
Target entity description: Urzhum is a small historic town in Kirov Oblast, Russia, known for its traditional architecture and role as a local administrative and cultural center.
  • A. URU
    URU is the FIFA country code used to represent the Uruguay national football team in international competitions and rankings.
  • B. Uryzmag
    Uryzmag is a prominent hero and patriarchal figure in the Ossetian Nart sagas, often portrayed as a wise and authoritative leader of the Narts.
  • C. Uyar
    Uyar is a Turkish surname most notably associated with the influential modernist poet Turgut Uyar.
  • D. URMO
    URMO is the ICAO airport code for Beslan Airport, which serves the city of Vladikavkaz in North Ossetia–Alania, Russia.
  • E. URM
    URM is the National Rail station code for Urmston railway station in Greater Manchester, England.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808e56fc81908b5d37482f29452d completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc7929e388190b35505378d0cf653 completed April 2, 2026, 1:34 a.m.
NEDg Description generation batch_69cdcc88456c8190ba8613b4cbf40fbb completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdcd75714881908f0b069a94ee334f completed April 2, 2026, 1:59 a.m.
Created at: March 30, 2026, 6:01 p.m.