Triple
T21808653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nothia aphylla |
E538413
|
entity |
| Predicate | axisDiameter |
P124635
|
FINISHED |
| Object | a few millimetres |
—
|
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: a few millimetres | Statement: [Nothia aphylla, axisDiameter, a few millimetres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: axisDiameter Context triple: [Nothia aphylla, axisDiameter, a few millimetres]
-
A.
bodyDiameter
chosen
Indicates the measurement of how wide an object's body is across its broadest cross-section.
-
B.
sphereDiameter
Indicates the measurement of the distance across a sphere passing through its center, relating the sphere to its diameter.
-
C.
approximateDiameter
Indicates that one entity specifies the estimated or rough measurement of another entity’s diameter.
-
D.
averageDiameter
Indicates the mean value of the diameters of a set of objects or instances in the relationship.
-
E.
meanDiameter_km
Indicates the average diameter of an object or region measured in kilometers.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f078047ca88190a0efa4bc7f2faf80 |
completed | April 28, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:53 p.m.