Triple

T23405875
Position Surface form Disambiguated ID Type / Status
Subject Zavkhan Province E559931 entity
Predicate capital P234 FINISHED
Object Uliastai
Uliastai is a historic town in western Mongolia that serves as an important regional center for administration and trade.
 E1584254 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: Uliastai | Statement: [Zavkhan Province, capital, Uliastai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uliastai
Context triple: [Zavkhan Province, capital, Uliastai]
  • A. Perdizes
    Perdizes is a central district in São Paulo, Brazil, known for its residential character, cultural venues, and proximity to major sports and educational institutions.
  • B. Prauliena
    Prauliena is a village and administrative unit located within Madona Municipality in eastern Latvia.
  • C. Lutai
    Lutai is the historical site in ancient China traditionally regarded as the place where the last Shang dynasty ruler, King Zhou of Shang, met his end.
  • D. Nausėda
    Nausėda is a Lithuanian surname most prominently associated with Gitanas Nausėda, the President of Lithuania.
  • E. Lindinis
    Lindinis is the Roman-era name for the town now known as Ilchester in Somerset, England, which served as an important settlement in Roman Britain.
  • 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: Uliastai
Triple: [Zavkhan Province, capital, Uliastai]
Generated description
Uliastai is a historic town in western Mongolia that serves as an important regional center for administration and trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uliastai
Target entity description: Uliastai is a historic town in western Mongolia that serves as an important regional center for administration and trade.
  • A. Perdizes
    Perdizes is a central district in São Paulo, Brazil, known for its residential character, cultural venues, and proximity to major sports and educational institutions.
  • B. Prauliena
    Prauliena is a village and administrative unit located within Madona Municipality in eastern Latvia.
  • C. Lutai
    Lutai is the historical site in ancient China traditionally regarded as the place where the last Shang dynasty ruler, King Zhou of Shang, met his end.
  • D. Nausėda
    Nausėda is a Lithuanian surname most prominently associated with Gitanas Nausėda, the President of Lithuania.
  • E. Lindinis
    Lindinis is the Roman-era name for the town now known as Ilchester in Somerset, England, which served as an important settlement in Roman Britain.
  • 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4e364548190b98dc09240fba58e completed April 29, 2026, 6:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5df67cac8190868ab0068248be07 completed May 19, 2026, 12:56 p.m.
NEDg Description generation batch_6a0c5ff391208190a1e5e5d3604de8fb completed May 19, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_6a0c609b4e108190a8abe634d326f62d completed May 19, 2026, 1:07 p.m.
Created at: April 17, 2026, 5:38 p.m.