Triple
T9172164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eravikulam National Park |
E220105
|
entity |
| Predicate | neelakurinjiFloweringCycle |
P66502
|
FINISHED |
| Object | approximately once in 12 years |
—
|
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: approximately once in 12 years | Statement: [Eravikulam National Park, neelakurinjiFloweringCycle, approximately once in 12 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neelakurinjiFloweringCycle Context triple: [Eravikulam National Park, neelakurinjiFloweringCycle, approximately once in 12 years]
-
A.
floweringInterval
Indicates the time span or period during which an entity is in bloom or producing flowers.
-
B.
floweringFrequency
chosen
Indicates how often an entity produces flowers within a given time period.
-
C.
floweringSeason
Indicates the time period during which a plant typically produces flowers.
-
D.
bloomSeason
Indicates the time period during which something, typically a plant, is in bloom or flowering.
-
E.
flowerEmergence
Indicates the point or process at which a flower becomes visible or emerges from its bud or supporting structure.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbf9fe79c819082f335c2fdd1c7d3 |
completed | April 1, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:22 p.m.