Triple

T25091922
Position Surface form Disambiguated ID Type / Status
Subject Rosemont Police Department E628484 entity
Predicate jurisdiction P82 FINISHED
Object Village of Rosemont, Illinois
The Village of Rosemont, Illinois is a small, incorporated suburb of Chicago known for its major entertainment, convention, and hospitality venues near O’Hare International Airport.
E1662521 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: Village of Rosemont, Illinois | Statement: [Rosemont Police Department, jurisdiction, Village of Rosemont, Illinois]
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: Village of Rosemont, Illinois
Triple: [Rosemont Police Department, jurisdiction, Village of Rosemont, Illinois]
Generated description
The Village of Rosemont, Illinois is a small, incorporated suburb of Chicago known for its major entertainment, convention, and hospitality venues near O’Hare International Airport.

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_69e2ff2f58e881908340527bc5d34f07 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f461eabb7c81909cfa0d5db8daca43 completed May 1, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048ea21148190b688671c8d8aff35 completed May 22, 2026, 12:15 p.m.
NEDg Description generation batch_6a104a2a89e08190aa35e97ffb57fc9a completed May 22, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a104bc667e48190bb0feadc5b324cde completed May 22, 2026, 12:27 p.m.
Created at: April 18, 2026, 6:24 a.m.