Triple

T13091202
Position Surface form Disambiguated ID Type / Status
Subject Visual Turing test E310466 entity
Predicate relatedTo P37 FINISHED
Object CAPTCHA E310467 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: CAPTCHA | Statement: [Visual Turing test, relatedTo, CAPTCHA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAPTCHA
Context triple: [Visual Turing test, relatedTo, CAPTCHA]
  • A. CAPTCHA chosen
    A CAPTCHA is an automated challenge–response test used on websites to distinguish human users from bots, typically by requiring tasks that are easy for people but hard for machines.
  • 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
    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.
  • D. CAP
    CAP (Common Alerting Protocol) is an international XML-based data format used for exchanging public warnings and emergency alerts across different systems and networks.
  • E. CAP
    CAP is the commonly used abbreviation for the Civil Air Patrol, the civilian auxiliary of the United States Air Force focused on emergency services, aerospace education, and cadet programs.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9813acbac8190b2fe5e07287457cf completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61629ac8190a2dfa11951a877f0 completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:03 p.m.