Triple
T21543938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valle de Ángeles |
E531564
|
entity |
| Predicate | isWeekendDestinationFor |
P71063
|
FINISHED |
| Object | residents of Tegucigalpa |
—
|
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: residents of Tegucigalpa | Statement: [Valle de Ángeles, isWeekendDestinationFor, residents of Tegucigalpa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWeekendDestinationFor Context triple: [Valle de Ángeles, isWeekendDestinationFor, residents of Tegucigalpa]
-
A.
isResortDestinationFor
chosen
Indicates that a place serves as a resort destination specifically intended for or frequented by a particular person, group, or entity.
-
B.
hasHolidayCountry
Indicates that a specific holiday is officially observed or associated with a particular country.
-
C.
hasWeeklyHolyDay
Indicates that an entity observes or is associated with a recurring holy or sacred day that occurs weekly.
-
D.
countryDuringPeak
Indicates the country in which an entity was located or primarily associated during its peak period of activity, influence, or performance.
-
E.
hasRegionalHoliday
Indicates that a particular region observes or is associated with a specific holiday.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58d66ec8190b654a46932c841d3 |
completed | April 27, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69e6320766308190ba5dca2f7c826aa4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:28 p.m.