Triple
T17915905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fer Servadou |
E447924
|
entity |
| Predicate | typicalTrellising |
P129308
|
FINISHED |
| Object | vigorous growth |
—
|
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: vigorous growth | Statement: [Fer Servadou, typicalTrellising, vigorous growth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTrellising Context triple: [Fer Servadou, typicalTrellising, vigorous growth]
-
A.
hasTendrils
Indicates that an entity possesses tendril-like extensions or appendages.
-
B.
typicalLotType
Indicates that one entity is the standard or commonly occurring type of lot associated with another entity.
-
C.
hasAttractiveFoliage
Indicates that an entity possesses foliage that is visually appealing or ornamental in appearance.
-
D.
roofTypeTypical
Indicates that a specified roof type is the common or characteristic roof style typically found for a given context or entity.
-
E.
typicalFabric
Indicates that something is made from or associated with a fabric material that is standard or characteristic for its type.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a3062bfc819083f7c0521bad4db8 |
completed | April 19, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
| PDg | Predicate description generation | batch_69e3db77df0c819084548168c62b398c |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:20 a.m.