Triple
T6997774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chardonel |
E162260
|
entity |
| Predicate | ripeningPeriod |
P2080
|
FINISHED |
| Object | mid-season to late-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: mid-season to late-season | Statement: [Chardonel, ripeningPeriod, mid-season to late-season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ripeningPeriod Context triple: [Chardonel, ripeningPeriod, mid-season to late-season]
-
A.
ripeningTime
chosen
Indicates the period or duration required for something to become fully ripe or reach its mature, ready-to-use state.
-
B.
ripeningTimeRelative
Indicates the temporal relationship between this entity’s ripening period and a reference ripening period (e.g., earlier, later, or at the same time).
-
C.
mustBeMaturedIn
Indicates that something is required to undergo a maturation process within a specified context, condition, or environment before it is considered ready or valid.
-
D.
typicalAgingTime
Indicates the usual duration required for something to age or mature under normal conditions.
-
E.
seedGerminationTime
Indicates the amount of time required for a seed to germinate under specified conditions.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbeef57881909245c8a5374a8111 |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c4a18881908d267137daed828b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.