Triple

T30545177
Position Surface form Disambiguated ID Type / Status
Subject Ulvila E777391 entity
Predicate locatedInCountrySubdivision P766 FINISHED
Object Satakunta electoral district
Satakunta electoral district is a Finnish parliamentary constituency in the Satakunta region that elects members to the Parliament of Finland.
E1920004 NE FINISHED

How this triple was built (2 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: Satakunta electoral district | Statement: [Ulvila, locatedInCountrySubdivision, Satakunta electoral district]
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: Satakunta electoral district
Triple: [Ulvila, locatedInCountrySubdivision, Satakunta electoral district]
Generated description
Satakunta electoral district is a Finnish parliamentary constituency in the Satakunta region that elects members to the Parliament of Finland.

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_69f2249d183c8190b79937c1768d2163 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6888ec9608190b271bc0348b3d0e8 completed May 2, 2026, 11:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27be8b301c819092d0c90c7dc1e48a completed June 9, 2026, 7:19 a.m.
NEDg Description generation batch_6a27c4e7206481909db338140a081c26 completed June 9, 2026, 7:46 a.m.
NED2 Entity disambiguation (via description) batch_6a27c5d531548190b647bf3dacceacce completed June 9, 2026, 7:50 a.m.
Created at: April 29, 2026, 8:19 p.m.