Triple
T8348364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamiales |
E196094
|
entity |
| Predicate | estimatedFamilyCount |
P31487
|
FINISHED |
| Object | about 20 to 25 families |
—
|
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: about 20 to 25 families | Statement: [Lamiales, estimatedFamilyCount, about 20 to 25 families]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedFamilyCount Context triple: [Lamiales, estimatedFamilyCount, about 20 to 25 families]
-
A.
familySize
Indicates the number of individuals that belong to a given family unit.
-
B.
numberOfFamilies
chosen
Indicates the total count of distinct family units associated with a given entity or context.
-
C.
macroFamilySize
Indicates the total number of distinct families or family-level groupings contained within a larger macro-level family or classification.
-
D.
familyType
Indicates the specific familial relationship or category that characterizes how the related entities are connected as family.
-
E.
ownerFamily
Indicates that a family has ownership or proprietary rights over a particular entity or resource.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb801588e881908ac0a291280ac0f8 |
completed | March 31, 2026, 8:04 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:58 p.m.