Triple

T27818450
Position Surface form Disambiguated ID Type / Status
Subject GetRequest E702746 entity
Predicate hasConceptualEquivalent P6530 FINISHED
Object HTTP GET method 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: HTTP GET method | Statement: [GetRequest, hasConceptualEquivalent, HTTP GET method]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConceptualEquivalent
Context triple: [GetRequest, hasConceptualEquivalent, HTTP GET method]
  • A. hasConceptualParallel
    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.
  • B. equivalentIn
    Indicates that two entities are considered logically or functionally the same in meaning, status, or effect within a given context.
  • C. equivalentTo chosen
    Indicates that two entities represent the same concept, value, or state, and can be treated as interchangeable in the given context.
  • D. hasConceptualOpposite
    Indicates that one entity represents a concept that is fundamentally opposed or contrary in meaning to the concept represented by another entity.
  • E. cognateOf
    Indicates that two linguistic forms share a common historical origin, typically descending from the same ancestral word.
  • 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_69ef840ad1e88190b5bff2d1ddec8700 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69ff48199b1c8190bb05872f8a4f4673 completed May 9, 2026, 2:43 p.m.
PD Predicate disambiguation batch_69ff4746b1cc8190854f70a124df7d04 completed May 9, 2026, 2:40 p.m.
Created at: April 27, 2026, 5:47 p.m.