Triple

T24814129
Position Surface form Disambiguated ID Type / Status
Subject Helsingør Municipality E620867 entity
Predicate hasLegislativeBody P239 FINISHED
Object Helsingør Municipal Council
Helsingør Municipal Council is the elected local governing body responsible for setting policy, passing budgets, and overseeing municipal services in Helsingør Municipality, Denmark.
E620867 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: Helsingør Municipal Council | Statement: [Helsingør Municipality, hasLegislativeBody, Helsingør 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: Helsingør Municipal Council
Triple: [Helsingør Municipality, hasLegislativeBody, Helsingør Municipal Council]
Generated description
Helsingør Municipal Council is the elected local governing body responsible for setting policy, passing budgets, and overseeing municipal services in Helsingør Municipality, Denmark.

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_69e2fabfd4648190bd0e5c7f4dbb6cab completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f4220cebe4819096024c54f111dc55 completed May 1, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c3c190081909ed5d63d658c87ba completed May 22, 2026, 9:05 a.m.
NEDg Description generation batch_6a1020699b3c81908897bc4600b6034c completed May 22, 2026, 9:22 a.m.
NED2 Entity disambiguation (via description) batch_6a10210266fc81908dd98288bc0e22a2 completed May 22, 2026, 9:25 a.m.
Created at: April 18, 2026, 5 a.m.