Triple
T5733141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirador de Yanahuara |
E126432
|
entity |
| Predicate | hasBestTimeToVisit |
P53625
|
FINISHED |
| Object | late afternoon |
—
|
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: late afternoon | Statement: [Mirador de Yanahuara, hasBestTimeToVisit, late afternoon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBestTimeToVisit Context triple: [Mirador de Yanahuara, hasBestTimeToVisit, late afternoon]
-
A.
countryDuringPeak
Indicates the country in which an entity was located or primarily associated during its peak period of activity, influence, or performance.
-
B.
seasonalTourism
chosen
Indicates that tourism activity in a place varies significantly by season, with distinct peak and off-peak periods.
-
C.
isPeakVacationMonthIn
Indicates that a given month falls within the period of highest typical vacation activity in a specified location or context.
-
D.
hasTouristVisits
Indicates that one entity experiences or records visits from tourists to another entity.
-
E.
canVisit
Indicates that one entity is permitted or able to go to or access another entity or location.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c6488881909bed4a4534d57f70 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:47 p.m.