Triple
T27496807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strobilanthes kunthiana |
E694038
|
entity |
| Predicate | floweringSynchrony |
P148897
|
FINISHED |
| Object | synchronous within local populations |
—
|
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: synchronous within local populations | Statement: [Strobilanthes kunthiana, floweringSynchrony, synchronous within local populations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floweringSynchrony Context triple: [Strobilanthes kunthiana, floweringSynchrony, synchronous within local populations]
-
A.
floweringPattern
chosen
Indicates how and when a plant produces flowers, such as the timing, frequency, and arrangement of its blooming.
-
B.
floweringFrequency
Indicates how often an entity produces flowers within a given time period.
-
C.
floweringOrder
Indicates the sequence or relative timing in which entities produce flowers or come into bloom.
-
D.
floweringInterval
Indicates the time span or period during which an entity is in bloom or producing flowers.
-
E.
floweringSeason
Indicates the time period during which a plant typically produces flowers.
- 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_69ef538370888190b1ddf53bb4831188 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62ec0087c819092b5a19c4bf6a3d0 |
completed | May 2, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 1:09 p.m.