Triple
T22544354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caerphilly Mountain |
E557377
|
entity |
| Predicate | hasPublicFootpaths |
P98022
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Caerphilly Mountain, hasPublicFootpaths, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicFootpaths Context triple: [Caerphilly Mountain, hasPublicFootpaths, true]
-
A.
hasPedestrianAccessTo
Indicates that a location or area can be reached or entered safely and directly by people on foot.
-
B.
hasFootways
chosen
Indicates that something includes or is connected to designated footpaths or pedestrian walkways.
-
C.
usesPublicRoads
Indicates that an entity travels on, operates vehicles on, or otherwise makes use of publicly accessible roadways.
-
D.
hasLimitedSidewalks
Indicates that the location has sidewalks that are sparse, incomplete, or insufficient in coverage or width.
-
E.
hasSidewalk
Indicates that a location, path, or roadway is accompanied by a designated sidewalk area for pedestrian use.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f34a0688190ad55be067db8e21b |
completed | April 29, 2026, 1:30 a.m. |
| PD | Predicate disambiguation | batch_69e898cb3fb48190add6ab24a2df5822 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.