Triple
T17560870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WKT |
E427692
|
entity |
| Predicate | relatedStandard |
P37
|
FINISHED |
| Object | Simple Feature Access |
—
|
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: Simple Feature Access | Statement: [WKT, relatedStandard, Simple Feature Access]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simple Feature Access Context triple: [WKT, relatedStandard, Simple Feature Access]
-
A.
Simple Features
chosen
Simple Features is a widely used Open Geospatial Consortium standard that defines a common model and data structures for representing and exchanging basic 2D vector geometries in geographic information systems.
-
B.
SL Access
SL Access is Stockholm's public transport smart card and ticketing system used for travel on buses, trains, and other SL services.
-
C.
iFeatures
iFeatures is a UK-based low-budget film initiative and production scheme that supports emerging filmmakers in developing and producing feature films.
-
D.
Access
Access is Microsoft's desktop database management system that enables users to create, manage, and analyze relational databases through a graphical interface and integrated tools.
-
E.
Access
Access is an American entertainment news television program that covers celebrity news, interviews, and Hollywood events.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e456267e208190a1238fbe1a535bb0 |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 5:50 a.m.