Triple
T22564539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Funnelbeaker culture |
E557910
|
entity |
| Predicate | domesticatedPlant |
P88108
|
FINISHED |
| Object | wheat |
—
|
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: wheat | Statement: [Funnelbeaker culture, domesticatedPlant, wheat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: domesticatedPlant Context triple: [Funnelbeaker culture, domesticatedPlant, wheat]
-
A.
cultivatedSpecies
chosen
Indicates that one entity is a species that is intentionally grown or cultivated by another entity.
-
B.
hostsPlantOf
Indicates that one entity serves as a host environment or substrate on which a particular plant lives, grows, or depends.
-
C.
isPlantOf
Indicates that one entity is a plant that belongs to, is associated with, or is characteristic of another entity (such as a region, habitat, or owner).
-
D.
plantType
Indicates the specific kind or category of plant that an entity is classified as.
-
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.
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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa8d8388190856198547d56dce6 |
completed | April 29, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:52 p.m.