Triple
T16270334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Loaf |
E394981
|
entity |
| Predicate | hasFootpathNetwork |
P98022
|
FINISHED |
| Object | waymarked trails |
—
|
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: waymarked trails | Statement: [Sugar Loaf, hasFootpathNetwork, waymarked trails]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFootpathNetwork Context triple: [Sugar Loaf, hasFootpathNetwork, waymarked trails]
-
A.
hasFootways
chosen
Indicates that something includes or is connected to designated footpaths or pedestrian walkways.
-
B.
footpathWidth
Indicates the measured or designated width of a footpath in the context of a spatial or infrastructural relationship.
-
C.
hasRoadNetworkType
Indicates the type or classification of road network associated with or present in an entity.
-
D.
hasPedestrianAccessTo
Indicates that a location or area can be reached or entered safely and directly by people on foot.
-
E.
streetNetworkIncludes
Indicates that a given street network contains or encompasses a specified street segment, feature, or component as part of its structure.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24608dd20819082f46a64af233038 |
completed | April 17, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:05 a.m.