Triple

T28996638
Position Surface form Disambiguated ID Type / Status
Subject Location HTTP header E736182 entity
Predicate canContainFragment P165881 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: [Location HTTP header, canContainFragment, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canContainFragment
Context triple: [Location HTTP header, canContainFragment, true]
  • A. canBeFragmented
    Indicates that something is capable of being broken, divided, or split into smaller parts or fragments.
  • B. hasFragments
    Indicates that an entity is composed of, contains, or is associated with one or more smaller constituent parts or pieces.
  • C. hasContainment
    Indicates that one entity spatially or logically encloses, includes, or holds another within its bounds.
  • D. canContainToken
    Indicates that one entity is capable of holding, including, or enclosing the specified token within itself.
  • E. requiresContainment
    Indicates that one entity must be physically or logically enclosed within another entity as a necessary condition or constraint.
  • F. None of above. chosen

Provenance (4 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_69f077eacd0481908ef0bafd74491cd0 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f65fb6ef4881909a758c3538fdec03 completed May 2, 2026, 8:33 p.m.
PD Predicate disambiguation batch_69f659d297cc8190b2b962ba30a1edb3 completed May 2, 2026, 8:08 p.m.
PDg Predicate description generation batch_69f65ad638ac8190a17bb987fce53279 completed May 2, 2026, 8:13 p.m.
Created at: April 28, 2026, 9:31 a.m.