Triple

T36860064
Position Surface form Disambiguated ID Type / Status
Subject Chicago medical community E910906 entity
Predicate hasProfessionalOrganization P39179 FINISHED
Object Illinois State Medical Society
The Illinois State Medical Society is a professional association representing physicians and advancing medical practice and public health throughout Illinois.
E2200603 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: Illinois State Medical Society | Statement: [Chicago medical community, hasProfessionalOrganization, Illinois State Medical Society]
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: Illinois State Medical Society
Triple: [Chicago medical community, hasProfessionalOrganization, Illinois State Medical Society]
Generated description
The Illinois State Medical Society is a professional association representing physicians and advancing medical practice and public health throughout Illinois.

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_69f76e8033d48190a59274f86f13be48 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7cfcf1bc881909d8f17c52c968e8f completed May 3, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde8123e48190bf6907373819ada7 completed June 26, 2026, 2:05 a.m.
NEDg Description generation batch_6a3ddfc240788190a65fe78106d951fa completed June 26, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_6a3dea739660819094f22f07ea16d5f4 completed June 26, 2026, 2:56 a.m.
Created at: May 3, 2026, 4:13 p.m.