Triple
T20549224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playa Delfines |
E504553
|
entity |
| Predicate | hasBestTimeOfDay |
P101963
|
FINISHED |
| Object | sunrise |
—
|
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: sunrise | Statement: [Playa Delfines, hasBestTimeOfDay, sunrise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBestTimeOfDay Context triple: [Playa Delfines, hasBestTimeOfDay, sunrise]
-
A.
bestTimeOfDayToVisit
chosen
Indicates the time of day during which visiting something is considered most optimal or desirable.
-
B.
hasTimeOfDay
Indicates that a situation, event, or state occurs during, or is associated with, a specific part of the day (e.g., morning, afternoon, evening, night).
-
C.
hasTimeOfHighActivity
Indicates that an entity experiences its peak or most intense level of activity during a specified time period.
-
D.
hasPeakHourService
Indicates that a service operates or is available during designated peak or high-demand hours.
-
E.
activityPeakPeriod
Indicates the time period during which an activity reaches its highest level or intensity.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5d56060819090f0e2f2f9957982 |
completed | April 20, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.