Triple

T13421975
Position Surface form Disambiguated ID Type / Status
Subject Illinois State Police E313380 entity
Predicate abbreviation P43 FINISHED
Object ISP
ISP is the commonly used acronym for the Illinois State Police, the statewide law enforcement agency of Illinois.
E1039020 NE FINISHED

How this triple was built (4 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: ISP | Statement: [Illinois State Police, abbreviation, ISP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISP
Context triple: [Illinois State Police, abbreviation, ISP]
  • A. ISP
    ISP is the three-letter IATA airport code for Long Island MacArthur Airport in New York.
  • B. IP
    IP is the acronym for Infraestruturas de Portugal, the Portuguese state-owned company responsible for managing the country’s road and rail infrastructure.
  • C. IP
    IP (Internet Protocol) is the core networking protocol that defines how data is addressed and routed across interconnected computer networks such as the internet.
  • D. IP
    IP is the postcode area in eastern England that covers Ipswich and surrounding parts of Suffolk.
  • E. IP
    IP is the stock ticker symbol for International Paper, a major global producer of paper and packaging products.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: ISP
Triple: [Illinois State Police, abbreviation, ISP]
Generated description
ISP is the commonly used acronym for the Illinois State Police, the statewide law enforcement agency of Illinois.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ISP
Target entity description: ISP is the commonly used acronym for the Illinois State Police, the statewide law enforcement agency of Illinois.
  • A. ISP
    ISP is the three-letter IATA airport code for Long Island MacArthur Airport in New York.
  • B. IP
    IP is the acronym for Infraestruturas de Portugal, the Portuguese state-owned company responsible for managing the country’s road and rail infrastructure.
  • C. IP
    IP (Internet Protocol) is the core networking protocol that defines how data is addressed and routed across interconnected computer networks such as the internet.
  • D. IP
    IP is the postcode area in eastern England that covers Ipswich and surrounding parts of Suffolk.
  • E. IP
    IP is the stock ticker symbol for International Paper, a major global producer of paper and packaging products.
  • F. None of above. chosen

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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaecf13748190ae40c7b95164f914 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308493e481909da52f8bbcc0bd6b completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f73195e4d88190ad356d0e3e18d34f completed May 3, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_69f73220ffc08190bfb1b89757efd606 completed May 3, 2026, 11:31 a.m.
Created at: April 9, 2026, 9:39 p.m.