Triple

T10141139
Position Surface form Disambiguated ID Type / Status
Subject Vihti E231585 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Nummela
Nummela is the largest built-up area and main population center of the municipality of Vihti in southern Finland.
 E847988 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: Nummela | Statement: [Vihti, hasAdministrativeCenter, Nummela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nummela
Context triple: [Vihti, hasAdministrativeCenter, Nummela]
  • A. Tammela
    Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
  • B. Humppila
    Humppila is a small municipality in southern Finland known for its rural landscapes and glassmaking tradition.
  • C. Marttila
    Marttila is a small rural municipality in southwestern Finland known for its agricultural landscape and tranquil countryside.
  • D. Terjola
    Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
  • E. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • 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: Nummela
Triple: [Vihti, hasAdministrativeCenter, Nummela]
Generated description
Nummela is the largest built-up area and main population center of the municipality of Vihti in southern Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nummela
Target entity description: Nummela is the largest built-up area and main population center of the municipality of Vihti in southern Finland.
  • A. Tammela
    Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
  • B. Humppila
    Humppila is a small municipality in southern Finland known for its rural landscapes and glassmaking tradition.
  • C. Marttila
    Marttila is a small rural municipality in southwestern Finland known for its agricultural landscape and tranquil countryside.
  • D. Terjola
    Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
  • E. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2425008190a92c5148ed703d5c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32ab35a508190a8eb1977e19ab8c5 completed April 6, 2026, 3:38 a.m.
NEDg Description generation batch_69d32c92055081909e1107a605a33406 completed April 6, 2026, 3:46 a.m.
NED2 Entity disambiguation (via description) batch_69d32ce40f1c8190968f1d544a35d53f completed April 6, 2026, 3:47 a.m.
Created at: March 30, 2026, 9:07 p.m.