Triple

T38625816
Position Surface form Disambiguated ID Type / Status
Subject Illinois Republican Party E937003 entity
Predicate hasWing P35 FINISHED
Object Illinois College Republicans
Illinois College Republicans is a statewide organization that mobilizes and represents Republican students on college and university campuses across Illinois.
E2277788 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 College Republicans | Statement: [Illinois Republican Party, hasWing, Illinois College Republicans]
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 College Republicans
Triple: [Illinois Republican Party, hasWing, Illinois College Republicans]
Generated description
Illinois College Republicans is a statewide organization that mobilizes and represents Republican students on college and university campuses across 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_69f76ed403208190b862dc795171353f completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd9969b7881908e6f2315a5468b14 completed May 7, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41f44eff588190bdc886ec2f7f7bcf completed June 29, 2026, 4:27 a.m.
NEDg Description generation batch_6a41f4b9ac308190ad945a698bcfd9fc completed June 29, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_6a41f578e16881908da0413e8dfd17e1 completed June 29, 2026, 4:32 a.m.
Created at: May 3, 2026, 4:32 p.m.