Triple
T24493396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coco de mer |
E617709
|
entity |
| Predicate | leafLongevity |
P156525
|
FINISHED |
| Object | several 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: several years | Statement: [coco de mer, leafLongevity, several years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leafLongevity Context triple: [coco de mer, leafLongevity, several years]
-
A.
treeLongevity
Indicates the duration or lifespan of a tree, typically measured from planting or germination to death or removal.
-
B.
lifespan
Indicates the duration of time between an entity’s birth (or creation) and its death (or end).
-
C.
inflorescenceLongevity
Indicates how long an inflorescence (the flower cluster of a plant) remains functional or persists before withering.
-
D.
flowerLifespan
Indicates the duration of time that a flower remains alive or in bloom.
-
E.
lifespanType
Indicates the type or category of lifespan associated with an entity, such as whether it is finite, indefinite, or of a particular defined duration.
- 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a9d795288190916368e3cec1f666 |
completed | April 30, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:22 a.m.