Triple

T3480092
Position Surface form Disambiguated ID Type / Status
Subject Votic language E73467 entity
Predicate traditionalVillageArea P14192 FINISHED
Object Jõgõperä
Jõgõperä is a traditional village area historically inhabited by speakers of the Votic language in Ingria.
 E360656 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: Jõgõperä | Statement: [Votic language, traditionalVillageArea, Jõgõperä]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jõgõperä
Context triple: [Votic language, traditionalVillageArea, Jõgõperä]
  • A. Nõmme
    Nõmme is a leafy, villa-filled suburban district of Tallinn known for its pine forests, wooden architecture, and small-town atmosphere within the capital.
  • B. Terjola
    Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
  • C. Vehmaa
    Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
  • D. Mustamäe
    Mustamäe is a residential district in the western part of Tallinn, Estonia, known for its Soviet-era apartment blocks and proximity to universities and technology hubs.
  • E. Kauhava
    Kauhava is a town in western Finland known historically for its aviation activities and air base, as well as its traditional knife-making heritage.
  • 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: Jõgõperä
Triple: [Votic language, traditionalVillageArea, Jõgõperä]
Generated description
Jõgõperä is a traditional village area historically inhabited by speakers of the Votic language in Ingria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jõgõperä
Target entity description: Jõgõperä is a traditional village area historically inhabited by speakers of the Votic language in Ingria.
  • A. Nõmme
    Nõmme is a leafy, villa-filled suburban district of Tallinn known for its pine forests, wooden architecture, and small-town atmosphere within the capital.
  • B. Terjola
    Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
  • C. Vehmaa
    Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
  • D. Mustamäe
    Mustamäe is a residential district in the western part of Tallinn, Estonia, known for its Soviet-era apartment blocks and proximity to universities and technology hubs.
  • E. Kauhava
    Kauhava is a town in western Finland known historically for its aviation activities and air base, as well as its traditional knife-making heritage.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb7461708190898002fbd1191f34 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681b30b48190918d2821a8383229 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b368b597bc8190a51aba91164a8db8 completed March 13, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69b3696c41808190a30cb55b698da47b completed March 13, 2026, 1:33 a.m.
Created at: March 8, 2026, 3:17 p.m.