Triple

T28010104
Position Surface form Disambiguated ID Type / Status
Subject Oakdale, Minnesota E707391 entity
Predicate governingBody P46 FINISHED
Object Oakdale City Council
The Oakdale City Council is the elected municipal legislative body responsible for setting policy, passing ordinances, and overseeing local governance in Oakdale, Minnesota.
E1800873 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: Oakdale City Council | Statement: [Oakdale, Minnesota, governingBody, Oakdale City 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: Oakdale City Council
Triple: [Oakdale, Minnesota, governingBody, Oakdale City Council]
Generated description
The Oakdale City Council is the elected municipal legislative body responsible for setting policy, passing ordinances, and overseeing local governance in Oakdale, Minnesota.

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_69ef96ba350c81908230d0b501b974c4 completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63bd9241c8190af8074df6ead4b4b completed May 2, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15b89cf624819086c0a0f34a6b0756 completed May 26, 2026, 3:13 p.m.
NEDg Description generation batch_6a15bfa3c31081908a2ed9cdef029876 completed May 26, 2026, 3:43 p.m.
NED2 Entity disambiguation (via description) batch_6a15bff1212c81908c955982c69622a1 completed May 26, 2026, 3:44 p.m.
Created at: April 27, 2026, 8:03 p.m.