Triple

T19435732
Position Surface form Disambiguated ID Type / Status
Subject OGC WMS E486220 entity
Predicate supportsRequestMethod P24486 FINISHED
Object HTTP GET 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 | Statement: [OGC WMS, supportsRequestMethod, HTTP GET]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsRequestMethod
Context triple: [OGC WMS, supportsRequestMethod, HTTP GET]
  • A. supportsRESTfulRequestDispatching
    Indicates that an entity provides mechanisms to route and handle RESTful HTTP requests to appropriate resources or handlers.
  • B. supportsRouting
    Indicates that one entity provides the capability to determine and direct paths or routes for another entity’s traffic, requests, or messages.
  • C. hasSupported
    Indicates that one entity has provided assistance, endorsement, or backing to another entity, either materially, emotionally, or through advocacy.
  • D. supportsType chosen
    Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
  • E. supportsFeature
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6336001488190a05f372779711ed2 completed April 20, 2026, 2:08 p.m.
PD Predicate disambiguation batch_69e4fd6e806081909053f325ba01ab6b completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:37 p.m.