Triple
T34920264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippine carabao mango |
E1007115
|
entity |
| Predicate | peakSeasonInPhilippines |
P181868
|
FINISHED |
| Object | dry season |
—
|
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: dry season | Statement: [Philippine carabao mango, peakSeasonInPhilippines, dry season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakSeasonInPhilippines Context triple: [Philippine carabao mango, peakSeasonInPhilippines, dry season]
-
A.
peakSeasonMonth
Indicates the month or months during which something (such as demand, activity, or occurrence) reaches its highest or most intense level.
-
B.
peakSeasonReason
Indicates that there is a specific cause or justification for why a given time period is considered the peak season for something.
-
C.
peakShippingSeasonInJapan
Indicates the time period during which shipping activity in Japan reaches its highest volume or intensity.
-
D.
seasonalDemandPeak
Indicates that demand for a product, service, or resource reaches its highest level during a specific recurring season or time period.
-
E.
popularTimeToVisit
Indicates the time period during which a place is most frequently visited or experiences peak visitor activity.
- 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_69f76dc2b6b0819095a61debbd405269 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782cf61948190b98185d961609554 |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782c848fc8190baea8c845ca9079f |
completed | May 3, 2026, 5:15 p.m. |
Created at: May 3, 2026, 4 p.m.