Triple
T12073835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lentille verte du Puy |
E287493
|
entity |
| Predicate | isDriedLegume |
P103065
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lentille verte du Puy, isDriedLegume, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDriedLegume Context triple: [Lentille verte du Puy, isDriedLegume, true]
-
A.
isLegume
Indicates that something belongs to the group of plants classified as legumes, typically producing seeds in pods and often associated with nitrogen-fixing properties.
-
B.
canDryOut
Indicates that one entity has the ability or tendency to cause another entity to lose moisture and become dry.
-
C.
hasAmyloseContent
Indicates that an entity (typically a food or plant material) possesses a specified amount or proportion of amylose in its starch content.
-
D.
dryMass
Indicates the mass of an object excluding any contained fluids, propellants, or other consumable materials.
-
E.
isPastaFilata
Indicates that something is a pasta filata cheese, i.e., a cheese made by heating and stretching the curd in hot water.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:48 p.m.