Triple
T23739956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euphorbiaceae |
E586646
|
entity |
| Predicate | estimatedGeneraCount |
P145983
|
FINISHED |
| Object | over 200 genera |
—
|
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: over 200 genera | Statement: [Euphorbiaceae, estimatedGeneraCount, over 200 genera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedGeneraCount Context triple: [Euphorbiaceae, estimatedGeneraCount, over 200 genera]
-
A.
numberOfGenera
Indicates the total count of genera associated with or contained within a given entity.
-
B.
generaCountApproximate
chosen
Indicates an approximate or estimated number of genera associated with an entity.
-
C.
hasLimitedNumberOfGenera
Indicates that the subject is associated with only a restricted or finite number of genera, rather than an open-ended or unlimited set.
-
D.
estimatedNumberOfGenes
Indicates the approximate count of genes that an entity (such as an organism or genome) is believed to possess.
-
E.
hasApproximateNumberOfVarieties
Indicates that an entity is associated with an estimated or non-exact count of different varieties or types.
- 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bad5209081909c44380816bec377 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:11 p.m.