Triple

T9566876
Position Surface form Disambiguated ID Type / Status
Subject CCS E230808 entity
Predicate influenced P9 FINISHED
Object CSP E96229 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: CSP | Statement: [CCS, influenced, CSP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CSP
Context triple: [CCS, influenced, CSP]
  • A. CSP
    CSP is a web security standard that helps prevent attacks like cross-site scripting (XSS) by controlling which resources a browser is allowed to load for a given page.
  • B. CSP
    CSP is the commonly used abbreviation for the Conference of the States Parties, the main decision-making body overseeing implementation of the Chemical Weapons Convention.
  • C. CSP (Communicating Sequential Processes) chosen
    CSP (Communicating Sequential Processes) is a formal model for describing and analyzing concurrent systems based on independent processes that interact solely through message-passing communication.
  • D. CPS
    CPS is the commonly used abbreviation for Chicago Public Schools, the third-largest school district in the United States.
  • E. CPS
    CPS is the three-letter IATA airport code for St. Louis Downtown Airport, a regional airport serving the St. Louis metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd996df4f08190b19bbaefb10a9789 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152b09c808190aff32419f2cbb15f completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:04 p.m.