Triple
T11946284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Popovo Lake |
E284305
|
entity |
| Predicate | touristTrailAccess |
P93497
|
FINISHED |
| Object | marked mountain 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: marked mountain trails | Statement: [Popovo Lake, touristTrailAccess, marked mountain trails]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: touristTrailAccess Context triple: [Popovo Lake, touristTrailAccess, marked mountain trails]
-
A.
touristAccess
Indicates that a place or resource is available for use or visitation by tourists.
-
B.
tourAccess
Indicates that an entity is permitted to participate in, enter, or make use of a specific tour.
-
C.
hasScenicAccessTo
Indicates that one place or object provides a visually appealing or notable view of another place or object.
-
D.
hasTrailAccessPoint
chosen
Indicates that there is a specific access point or entrance connecting a location to a trail or pathway.
-
E.
showsTrails
Indicates that one entity visually displays or renders the trails or paths associated with another entity.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903456ec0819082b8b10755a6b732 |
completed | April 10, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.