Triple

T22499187
Position Surface form Disambiguated ID Type / Status
Subject Certbot E556222 entity
Predicate supportsProtocol P203 FINISHED
Object ACME NE NERFINISHED

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: ACME | Statement: [Certbot, supportsProtocol, ACME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ACME
Context triple: [Certbot, supportsProtocol, ACME]
  • A. ACME chosen
    ACME is the automated certificate management protocol used by Let’s Encrypt and others to securely issue and manage TLS/SSL certificates over the internet.
  • B. Acme
    Acme is a small community located in Michigan’s Grand Traverse Bay area, known as a local hub near Traverse City.
  • C. ACME products
    ACME products is a fictional brand in Looney Tunes cartoons, notorious for its outlandish gadgets and contraptions that frequently malfunction, especially when used by Wile E. Coyote.
  • D. Atco
    Atco is a small unincorporated community in Waterford Township, Camden County, New Jersey, known for its residential character and regional rail access.
  • E. Webscoe Industries
    Webscoe Industries is a powerful, fictional multinational conglomerate owned by the villainous tycoon Ross Webster in the film "Superman III."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5445bc8190b6a9481926db3355 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15cb3deb88190874230ae06a352d6 completed April 29, 2026, 1:19 a.m.
Created at: April 16, 2026, 8:50 p.m.