Triple

T35926163
Position Surface form Disambiguated ID Type / Status
Subject Illinois Statewide Terrorism and Intelligence Center E1039028 entity
Predicate abbreviation P43 FINISHED
Object STIC
STIC is the Illinois Statewide Terrorism and Intelligence Center, a state-level fusion center that coordinates intelligence sharing and analysis to support law enforcement and homeland security efforts in Illinois.
E2161916 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: STIC | Statement: [Illinois Statewide Terrorism and Intelligence Center, abbreviation, STIC]
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: STIC
Triple: [Illinois Statewide Terrorism and Intelligence Center, abbreviation, STIC]
Generated description
STIC is the Illinois Statewide Terrorism and Intelligence Center, a state-level fusion center that coordinates intelligence sharing and analysis to support law enforcement and homeland security efforts in 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_69f76e23e4688190a5369138755138bf completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ab7d439481909b581d94a6dd267c completed May 3, 2026, 8:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38ae3a55d48190ab7a2932d397428c completed June 22, 2026, 3:38 a.m.
NEDg Description generation batch_6a38aed9c3608190be4d8a738722fc4f completed June 22, 2026, 3:41 a.m.
NED2 Entity disambiguation (via description) batch_6a38afe3882c819094065a02436b8868 completed June 22, 2026, 3:45 a.m.
Created at: May 3, 2026, 4:07 p.m.