Triple
T35525528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panorama climbing sector |
E1026661
|
entity |
| Predicate | hasRouteVariety |
P197613
|
FINISHED |
| Object | varied grades |
—
|
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: varied grades | Statement: [Panorama climbing sector, hasRouteVariety, varied grades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRouteVariety Context triple: [Panorama climbing sector, hasRouteVariety, varied grades]
-
A.
hasMultipleRoutes
Indicates that there is more than one distinct route or path available between the related entities.
-
B.
hasRouteType
Indicates that there is a specific kind or category of route associated with an entity (e.g., road, rail, bus line).
-
C.
hasVarietyOf
Indicates that an entity possesses or offers multiple different types, forms, or versions of something.
-
D.
hasRoute
Indicates that there exists a path or connection enabling travel or communication from one entity to another.
-
E.
routeVariesBy
Indicates that the characteristics or details of a route change depending on certain conditions, parameters, or contexts.
- F. None of above. chosen
Provenance (4 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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe9dfaa2d08190b2084f63f842eb6b |
completed | May 9, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69fe9bba947c81908b0b2b92a4d19b37 |
completed | May 9, 2026, 2:28 a.m. |
| PDg | Predicate description generation | batch_69fe9df9561c8190a068f91c9fc78e56 |
completed | May 9, 2026, 2:37 a.m. |
Created at: May 3, 2026, 4:04 p.m.