Triple
T17366270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagenaria siceraria |
E422195
|
entity |
| Predicate | plantPartConsumed |
P23620
|
FINISHED |
| Object | immature fruit |
—
|
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: immature fruit | Statement: [Lagenaria siceraria, plantPartConsumed, immature fruit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plantPartConsumed Context triple: [Lagenaria siceraria, plantPartConsumed, immature fruit]
-
A.
ediblePart
chosen
Indicates that one entity is a part of another entity that can be eaten or consumed.
-
B.
largelyConsumedBy
Indicates that something is mostly or predominantly eaten or used up by a particular consumer or group.
-
C.
hasPlantPart
Indicates that one entity includes, contains, or is composed of a specific plant part of another entity.
-
D.
containsEdiblePlant
Indicates that one entity includes within it, or has as part of its contents, a plant or plant part that is suitable for consumption as food.
-
E.
eatenAs
Indicates that one entity is consumed or used as food by another entity.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a50c9ec8190b518fdf80808af53 |
completed | April 19, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.