Triple
T2846714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanda Devi and Valley of Flowers National Parks |
E62999
|
entity |
| Predicate | bestVisitingSeasonForFlowers |
P1343
|
FINISHED |
| Object | July–August |
—
|
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: July–August | Statement: [Nanda Devi and Valley of Flowers National Parks, bestVisitingSeasonForFlowers, July–August]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestVisitingSeasonForFlowers Context triple: [Nanda Devi and Valley of Flowers National Parks, bestVisitingSeasonForFlowers, July–August]
-
A.
floweringSeason
Indicates the time period during which a plant typically produces flowers.
-
B.
bloomSeason
chosen
Indicates the time period during which something, typically a plant, is in bloom or flowering.
-
C.
typicalSeasonTiming
Indicates the usual time period or season during which something normally occurs or is expected to take place.
-
D.
floweringBeforeLeafOut
Indicates that the plant produces flowers before its leaves emerge or fully develop.
-
E.
fruitingSeason
Indicates the time period during which a plant produces mature, harvestable fruits.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf3ebbac819090e2bf98ed9fbd02 |
completed | March 7, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69abdd0e86808190bcefffafbd3cd441 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.