Triple
T32540261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ong Lang Beach |
E831691
|
entity |
| Predicate | bestSeasonMonths |
P175486
|
FINISHED |
| Object | November to April |
—
|
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: November to April | Statement: [Ong Lang Beach, bestSeasonMonths, November to April]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestSeasonMonths Context triple: [Ong Lang Beach, bestSeasonMonths, November to April]
-
A.
seasonMonths
Indicates the set of calendar months during which a given season occurs.
-
B.
bestHikingMonths
Indicates the months of the year during which hiking conditions are considered most favorable for a given place or trail.
-
C.
peakSeasonMonth
Indicates the month or months during which something (such as demand, activity, or occurrence) reaches its highest or most intense level.
-
D.
bestHikingMonthsNorthernHemisphere
Indicates the months in the Northern Hemisphere that are considered most suitable or optimal for hiking.
-
E.
wettestMonths
Indicates the months during which a location experiences the highest amount of precipitation compared to other months.
- F. None of above. chosen
Provenance (4 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_69f34924b1cc8190ad3aca0c0f012a7e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6d210fc80819091ed8961aa2cddfb |
completed | May 3, 2026, 4:41 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d16b79dc8190ab0d4657f2ef9a5b |
completed | May 3, 2026, 4:39 a.m. |
Created at: May 1, 2026, 1:02 a.m.