Triple
T2886465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamaricaceae |
E59517
|
entity |
| Predicate | perianthParts |
P42579
|
FINISHED |
| Object | 4 or 5 sepals and petals |
—
|
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: 4 or 5 sepals and petals | Statement: [Tamaricaceae, perianthParts, 4 or 5 sepals and petals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perianthParts Context triple: [Tamaricaceae, perianthParts, 4 or 5 sepals and petals]
-
A.
ediblePart
Indicates that one entity is a part of another entity that can be eaten or consumed.
-
B.
reproductiveStructure
Indicates that one entity serves as a reproductive organ or structure of another, involved in producing or facilitating the formation of offspring or reproductive cells.
-
C.
cuticleType
Indicates the type or characteristics of the cuticle associated with an entity.
-
D.
petalShape
Indicates the characteristic form or outline of a flower’s petals in relation to the whole blossom.
-
E.
seatOfBody
Indicates that one entity serves as the physical location or base where another entity (typically an organization or authority) is situated or headquartered.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe0463ccc8190bf08330f40d0cfdc |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abdd96670c8190b727f9ac27dadf67 |
completed | March 7, 2026, 8:11 a.m. |
Created at: March 6, 2026, 10:03 p.m.