Triple
T34690161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genouillet |
E890868
|
entity |
| Predicate | globalPlantings |
P179628
|
FINISHED |
| Object | very small area |
—
|
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: very small area | Statement: [Genouillet, globalPlantings, very small area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: globalPlantings Context triple: [Genouillet, globalPlantings, very small area]
-
A.
plantingTrend
Indicates a pattern or change over time in how frequently or extensively planting activities occur.
-
B.
plantedIn
Indicates that one entity has been placed or sown into another entity as its growing or containing medium.
-
C.
treePlanting
Indicates the action of placing and establishing a tree in the ground at a chosen location.
-
D.
hostsPlantOf
Indicates that one entity serves as a host environment or substrate on which a particular plant lives, grows, or depends.
-
E.
hostedPlantOf
Indicates that one entity serves as the host environment or substrate on which a particular plant lives, grows, or is supported.
- 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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72350dd7881908a30f0e2e230931c |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f7221bc57c819085c1464a45e61b2f |
completed | May 3, 2026, 10:23 a.m. |
Created at: May 1, 2026, 2:05 a.m.