Triple
T1451594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musala |
E31301
|
entity |
| Predicate | hasTypicalAscentTime |
P20400
|
FINISHED |
| Object | about 4 to 6 hours from Borovets |
—
|
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: about 4 to 6 hours from Borovets | Statement: [Musala, hasTypicalAscentTime, about 4 to 6 hours from Borovets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalAscentTime Context triple: [Musala, hasTypicalAscentTime, about 4 to 6 hours from Borovets]
-
A.
approximateAscentTimeFromRefuge
chosen
Indicates the estimated amount of time required to ascend from a specified refuge to a target point or destination.
-
B.
reachesSummit
Indicates that an entity successfully arrives at or attains the highest point or summit of something.
-
C.
notableAscent
Indicates that an entity is recognized for a significant rise, climb, or upward journey, such as an important ascent of a mountain or similar elevation.
-
D.
hasIncline
Indicates that one entity possesses or exhibits a slope, tilt, or upward/downward angle relative to another reference.
-
E.
hasHikingTrailToTop
Indicates that there exists a hiking trail leading from a starting location to the top or summit of a specified destination.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c57bc0908190a57e6bc3d20d5e3c |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47cdbd0819092022344a2f4ad7b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.