Triple

T35813198
Position Surface form Disambiguated ID Type / Status
Subject Tuusula municipal council E1035286 entity
Predicate governs P760 FINISHED
Object municipality of Tuusula
The municipality of Tuusula is a local administrative region in southern Finland known for its lakeside landscapes, cultural heritage, and role as a residential area near the Helsinki metropolitan region.
E2156207 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: municipality of Tuusula | Statement: [Tuusula municipal council, governs, municipality of Tuusula]
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: municipality of Tuusula
Triple: [Tuusula municipal council, governs, municipality of Tuusula]
Generated description
The municipality of Tuusula is a local administrative region in southern Finland known for its lakeside landscapes, cultural heritage, and role as a residential area near the Helsinki metropolitan region.

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_69f76e1762408190b885a8456862e372 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a8dd45d08190802eecaa2c07ed6c completed May 3, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3891759ebc81909dc7e51a6e820e26 completed June 22, 2026, 1:35 a.m.
NEDg Description generation batch_6a38928c712c8190b3d7e00d5a919bc2 completed June 22, 2026, 1:40 a.m.
NED2 Entity disambiguation (via description) batch_6a3893059c208190a4668882007bf349 completed June 22, 2026, 1:42 a.m.
Created at: May 3, 2026, 4:06 p.m.