Triple
T19435757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OGC WMS |
E486220
|
entity |
| Predicate | relatedStandard |
P37
|
FINISHED |
| Object | OGC SLD |
—
|
NE NERFINISHED |
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 SLD | Statement: [OGC WMS, relatedStandard, OGC SLD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OGC SLD Context triple: [OGC WMS, relatedStandard, OGC SLD]
-
A.
OGC SLD
chosen
OGC SLD (Styled Layer Descriptor) is an Open Geospatial Consortium standard XML schema for defining the visual styling and rendering rules of map layers in web and GIS applications.
-
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.
Geography Markup Language
Geography Markup Language is an XML-based standard developed by the Open Geospatial Consortium for modeling, storing, and exchanging geographic information and spatial features.
-
E.
OGC WCS
OGC WCS (Web Coverage Service) is an OGC standard that defines web-based access and retrieval of geospatial raster data (coverages) with their full spatial and temporal semantics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 1:37 p.m.