Triple
T4463132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desso GrassMaster |
E98304
|
entity |
| Predicate | fiberLength |
P35372
|
FINISHED |
| Object | approximately 20 cm |
—
|
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: approximately 20 cm | Statement: [Desso GrassMaster, fiberLength, approximately 20 cm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fiberLength Context triple: [Desso GrassMaster, fiberLength, approximately 20 cm]
-
A.
fiberType
Indicates the specific kind or classification of fiber that characterizes or composes an entity.
-
B.
fiberCharacteristic
chosen
Indicates a relationship where a specific characteristic or property is attributed to a fiber or fibrous material.
-
C.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
D.
fiberContent
Indicates that one entity specifies the amount or presence of dietary fiber contained in another entity.
-
E.
frontLength
Indicates the length measurement of the front side or edge of an object relative to its overall dimensions.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3567716a4819092a5bc9732e74592 |
completed | March 13, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69b34f65f6448190abfadb2ae5658798 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:34 p.m.