Triple

T10330137
Position Surface form Disambiguated ID Type / Status
Subject WMS E242851 entity
Predicate category P87 FINISHED
Object OGC Web Service E242849 NE 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: OGC Web Service | Statement: [WMS, category, OGC Web Service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OGC Web Service
Context triple: [WMS, category, OGC Web Service]
  • A. OGC WMS
    OGC WMS (Open Geospatial Consortium Web Map Service) is a standard protocol for serving georeferenced map images over the internet from distributed geographic information systems.
  • B. OGC
    OGC is the abbreviation for NASA’s Office of the General Counsel, the agency’s chief legal office responsible for providing legal advice and services.
  • C. OGC
    OGC is the Office of General Counsel within the Office of Justice Programs, providing legal advice and services on justice-related programs and policies.
  • D. GeoServer
    GeoServer is an open-source server application that allows users to share, process, and edit geospatial data using open standards such as WMS, WFS, and WCS.
  • E. Open Geospatial Consortium chosen
    The Open Geospatial Consortium is an international industry consortium that develops open standards for geospatial and location-based services and data interoperability.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7fb77348190ac8ff887f6f03450 completed April 7, 2026, 10:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71dbc7df48190b8a11a92f946fd30 completed April 9, 2026, 3:32 a.m.
Created at: April 6, 2026, 11:52 a.m.