Triple

T10170187
Position Surface form Disambiguated ID Type / Status
Subject Ivano-Frankivsk Oblast E235309 entity
Predicate containsVillage P4011 FINISHED
Object Huta
Huta is a village located in western Ukraine’s Ivano-Frankivsk Oblast, known for its proximity to the Carpathian Mountains and forested landscapes.
 E845977 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: Huta | Statement: [Ivano-Frankivsk Oblast, containsVillage, Huta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Huta
Context triple: [Ivano-Frankivsk Oblast, containsVillage, Huta]
  • A. Hutaosa
    Hutaosa is an alternative or variant form of the ancient Persian female name Atossa, borne by a prominent Achaemenid queen.
  • B. Kahuta
    Kahuta is a town in Pakistan’s Punjab province known for hosting the country’s primary nuclear research and enrichment facilities.
  • C. Horki
    Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
  • D. Rumuosi
    Rumuosi is a prominent town in Rivers State, Nigeria, situated within the Obio-Akpor Local Government Area and forming part of the greater Port Harcourt metropolitan region.
  • E. Tapolca
    Tapolca is a small Hungarian town in the Transdanubian region, known for its scenic karst landscape and the famous Tapolca Lake Cave.
  • 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: Huta
Triple: [Ivano-Frankivsk Oblast, containsVillage, Huta]
Generated description
Huta is a village located in western Ukraine’s Ivano-Frankivsk Oblast, known for its proximity to the Carpathian Mountains and forested landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Huta
Target entity description: Huta is a village located in western Ukraine’s Ivano-Frankivsk Oblast, known for its proximity to the Carpathian Mountains and forested landscapes.
  • A. Hutaosa
    Hutaosa is an alternative or variant form of the ancient Persian female name Atossa, borne by a prominent Achaemenid queen.
  • B. Kahuta
    Kahuta is a town in Pakistan’s Punjab province known for hosting the country’s primary nuclear research and enrichment facilities.
  • C. Horki
    Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
  • D. Rumuosi
    Rumuosi is a prominent town in Rivers State, Nigeria, situated within the Obio-Akpor Local Government Area and forming part of the greater Port Harcourt metropolitan region.
  • E. Tapolca
    Tapolca is a small Hungarian town in the Transdanubian region, known for its scenic karst landscape and the famous Tapolca Lake Cave.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9d36608190be78665cc3410cf2 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300f7aafc8190be874efc755bd188 completed April 6, 2026, 12:40 a.m.
NEDg Description generation batch_69d30255c7408190a56764f3d3f36ee2 completed April 6, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69d30343f4b081909eb80c772f6847bd completed April 6, 2026, 12:50 a.m.
Created at: March 30, 2026, 9:10 p.m.