Triple

T15171324
Position Surface form Disambiguated ID Type / Status
Subject SafetyNet APIs E362491 entity
Predicate includesComponent P1393 FINISHED
Object SafetyNet reCAPTCHA API 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: SafetyNet reCAPTCHA API | Statement: [SafetyNet APIs, includesComponent, SafetyNet reCAPTCHA API]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SafetyNet reCAPTCHA API
Context triple: [SafetyNet APIs, includesComponent, SafetyNet reCAPTCHA API]
  • 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. Twilio Verify
    Twilio Verify is a cloud-based verification service that helps businesses confirm user identities through one-time passcodes and multi-factor authentication across SMS, voice, email, and other channels.
  • C. Authy
    Authy is a two-factor authentication app and service that provides secure, multi-device token-based login protection for online accounts.
  • D. SPIN verification tool
    The SPIN verification tool is a widely used open-source model checker for detecting logical design errors in concurrent and distributed software systems.
  • E. OTPP
    OTPP is a major Canadian institutional investor that manages the pension fund for Ontario’s public school teachers.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064ec56481909f11fa6e5686f076 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec88c69088190a61f0a5719e99b87 completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:08 a.m.