Triple
T14524400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milnerton Beach |
E340734
|
entity |
| Predicate | bestSeasonForVisit |
P109480
|
FINISHED |
| Object | summer |
—
|
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: summer | Statement: [Milnerton Beach, bestSeasonForVisit, summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestSeasonForVisit Context triple: [Milnerton Beach, bestSeasonForVisit, summer]
-
A.
popularTimeToVisit
Indicates the time period during which a place is most frequently visited or experiences peak visitor activity.
-
B.
bestTimeToExperience
chosen
Indicates the optimal or most favorable time period during which an entity should be experienced or enjoyed.
-
C.
bestHikingMonthsNorthernHemisphere
Indicates the months in the Northern Hemisphere that are considered most suitable or optimal for hiking.
-
D.
peakSeasonMonth
Indicates the month or months during which something (such as demand, activity, or occurrence) reaches its highest or most intense level.
-
E.
bestTimeToVisitForWildlife
Indicates the most favorable time period to visit a place specifically for observing wildlife activity or diversity.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea04f16f88190ba357b0f8021b46b |
completed | April 14, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.