Triple
T32272703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plaza de Mulas route |
E824455
|
entity |
| Predicate | acclimatizationStop |
P116290
|
FINISHED |
| Object | Confluencia |
—
|
NE NERFINISHED |
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: Confluencia | Statement: [Plaza de Mulas route, acclimatizationStop, Confluencia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acclimatizationStop Context triple: [Plaza de Mulas route, acclimatizationStop, Confluencia]
-
A.
acclimatizationStrategy
Indicates a method or approach used to help entities adjust or adapt to new or changing conditions or environments.
-
B.
acclimatizationQuality
Indicates the degree to which an entity has successfully adapted or adjusted to a new environment or conditions.
-
C.
hasAcclimatizationProfile
Indicates that an entity is associated with a specific acclimatization profile describing how it adapts to particular environmental or operational conditions.
-
D.
trailStopOn
Indicates that one entity stops or terminates at the endpoint of a trail or path associated with another entity.
-
E.
commonAcclimatizationHikeDestinationFrom
chosen
Indicates that a location is a typical or frequently used hiking destination for acclimatization starting from a given origin.
- 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc8d0ecc8190b33b0e37bd0d443e |
completed | May 3, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:42 a.m.