Triple

T34911809
Position Surface form Disambiguated ID Type / Status
Subject Hankasalmi E1006889 entity
Predicate governingBody P46 FINISHED
Object Hankasalmi municipal council
Hankasalmi municipal council is the elected decision-making body responsible for local governance, budgeting, and municipal policies in the Finnish municipality of Hankasalmi.
E2116254 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: Hankasalmi municipal council | Statement: [Hankasalmi, governingBody, Hankasalmi municipal council]
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: Hankasalmi municipal council
Triple: [Hankasalmi, governingBody, Hankasalmi municipal council]
Generated description
Hankasalmi municipal council is the elected decision-making body responsible for local governance, budgeting, and municipal policies in the Finnish municipality of Hankasalmi.

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_69f76dc1b4a081909b4c6e4d8ec0aa2d completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7820fa458819096a63a8708f7a092 completed May 3, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3786f097fc8190ab2b442bd6c7c556 completed June 21, 2026, 6:38 a.m.
NEDg Description generation batch_6a3790a2977081909d171a4bcea302fc completed June 21, 2026, 7:20 a.m.
NED2 Entity disambiguation (via description) batch_6a379170ec24819082c79ec7724c67e9 completed June 21, 2026, 7:23 a.m.
Created at: May 3, 2026, 4 p.m.