Triple

T32665734
Position Surface form Disambiguated ID Type / Status
Subject Establishing TLS over an existing HTTP connection E835150 entity
Predicate isConceptuallySimilarTo P57196 FINISHED
Object STARTTLS in SMTP 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: STARTTLS in SMTP | Statement: [Establishing TLS over an existing HTTP connection, isConceptuallySimilarTo, STARTTLS in SMTP]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isConceptuallySimilarTo
Context triple: [Establishing TLS over an existing HTTP connection, isConceptuallySimilarTo, STARTTLS in SMTP]
  • A. hasSimilarityTo
    Indicates that one entity shares common characteristics, features, or qualities with another entity to a notable degree.
  • B. lessSimilarTo
    Indicates that one entity is considered to share fewer similarities or a weaker resemblance with another entity compared to some reference or alternative.
  • C. hasConceptualParallel chosen
    Indicates that one entity corresponds to or mirrors another at a conceptual level, showing a similar idea, structure, or pattern despite possible differences in form or context.
  • D. namedForSimilarityTo
    Indicates that one entity is given its name because of a perceived resemblance or likeness to another entity.
  • E. hasLexicalSimilarityWith
    Indicates that two linguistic items share a significant degree of similarity in form, structure, or wording.
  • F. None of above.

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_69f349303ccc8190a70d0f6e8a21d3fb completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f73223675481908c1bc3208c0f5284 completed May 3, 2026, 11:31 a.m.
PD Predicate disambiguation batch_69f7317690108190b3aae2cd2e1d069e completed May 3, 2026, 11:28 a.m.
Created at: May 1, 2026, 1:08 a.m.