Triple

T21343205
Position Surface form Disambiguated ID Type / Status
Subject Ucha River E526254 entity
Predicate hasNameInLanguage P15 FINISHED
Object Уча
Уча — это небольшая река в Московской области России, являющаяся притоком Клязьмы и протекающая через несколько подмосковных населённых пунктов.
 E1479295 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: Уча | Statement: [Ucha River, hasNameInLanguage, Уча]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Уча
Context triple: [Ucha River, hasNameInLanguage, Уча]
  • A. Ushba
    Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
  • B. Uchana
    Uchana is a town in the Jind district of Haryana, India, known as a local administrative and commercial center for the surrounding rural area.
  • C. Uschi
    Uschi is a common German diminutive form of the female given name Ursula.
  • D. Usil
    Usil is the Etruscan sun god, often associated with light, dawn, and the daily journey of the sun across the sky.
  • E. Unçaga
    Unçaga is an alternative spelling of the surname Unzaga, which is associated with several notable Spanish and Latin American historical figures.
  • 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: Уча
Triple: [Ucha River, hasNameInLanguage, Уча]
Generated description
Уча — это небольшая река в Московской области России, являющаяся притоком Клязьмы и протекающая через несколько подмосковных населённых пунктов.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Уча
Target entity description: Уча — это небольшая река в Московской области России, являющаяся притоком Клязьмы и протекающая через несколько подмосковных населённых пунктов.
  • A. Ushba
    Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
  • B. Uchana
    Uchana is a town in the Jind district of Haryana, India, known as a local administrative and commercial center for the surrounding rural area.
  • C. Uschi
    Uschi is a common German diminutive form of the female given name Ursula.
  • D. Usil
    Usil is the Etruscan sun god, often associated with light, dawn, and the daily journey of the sun across the sky.
  • E. Unçaga
    Unçaga is an alternative spelling of the surname Unzaga, which is associated with several notable Spanish and Latin American historical figures.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8a8515bc48190b79f80e505550cd5 completed April 22, 2026, 10:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5c8c9808190810982de97320df3 completed May 17, 2026, 11:26 a.m.
NEDg Description generation batch_6a09a6848c1c8190992ae7cdfeabdcf8 completed May 17, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_6a09aae23f2c81908f08d290277e22f9 completed May 17, 2026, 11:47 a.m.
Created at: April 16, 2026, 4:44 p.m.