Triple
T19435782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OGC SLD |
E486221
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | 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: SLD | Statement: [OGC SLD, abbreviation, SLD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SLD Context triple: [OGC SLD, abbreviation, SLD]
-
A.
SLD
SLD is a Polish social-democratic political party known as the Democratic Left Alliance.
-
B.
SLD
SLD is the National Rail station code for Salford Crescent railway station in Greater Manchester, England.
-
C.
SLD
SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
-
D.
SLD
chosen
SLD (Styled Layer Descriptor) is an OGC standard XML schema used to define the styling and visualization rules for geospatial data layers in web mapping services.
-
E.
SL2
SL2 is a branch of Boston’s MBTA Silver Line bus rapid transit service that connects South Station with the Seaport and Design Center area.
- 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.