Triple

T8486584
Position Surface form Disambiguated ID Type / Status
Subject Accept-Encoding E200845 entity
Predicate isCaseInsensitive P9568 FINISHED
Object true LITERAL 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: true | Statement: [Accept-Encoding, isCaseInsensitive, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isCaseInsensitive
Context triple: [Accept-Encoding, isCaseInsensitive, true]
  • A. isCaseInsensitiveInStandard chosen
    Indicates that the comparison, matching, or evaluation of values is performed without distinguishing between uppercase and lowercase characters according to a defined standard.
  • B. hasCaseInflection
    Indicates that a word or phrase changes form to reflect grammatical case (such as nominative, accusative, etc.) in a given language context.
  • C. supportsCaseSensitiveFilenames
    Indicates that the subject is capable of handling or distinguishing filenames based on letter casing, treating differently cased names as distinct.
  • D. caseSensitivityVariant
    Indicates that one string or textual form is a variant of another that differs only in letter casing (e.g., uppercase vs lowercase).
  • E. regardsAsIndifferent
    Indicates that one entity considers or treats another entity as emotionally neutral, unimportant, or not warranting special concern.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53c4d608190a766c0e919a4b96f completed March 31, 2026, 3:16 p.m.
PD Predicate disambiguation batch_69cbd107633c8190a36ba50e07876918 completed March 31, 2026, 1:49 p.m.
Created at: March 30, 2026, 6:13 p.m.