Triple
T36219113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swainsona coronillifolia |
E1047786
|
entity |
| Predicate | producesFruitType |
P15977
|
FINISHED |
| Object | legume pod |
—
|
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: legume pod | Statement: [Swainsona coronillifolia, producesFruitType, legume pod]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producesFruitType Context triple: [Swainsona coronillifolia, producesFruitType, legume pod]
-
A.
hasFruitType
chosen
Indicates that an entity possesses or is associated with a specific type or category of fruit.
-
B.
fruitTypeOfBestKnownSpecies
Indicates that the relationship specifies the type of fruit produced by the species that is best known or most representative for a given entity.
-
C.
fruitAdheresTo
Indicates that a fruit is physically attached or sticks to another surface or object.
-
D.
baseFruit
Indicates that one entity serves as the primary or foundational fruit associated with another entity.
-
E.
fruitCommonName
Indicates the commonly used everyday name by which a fruit is known.
- 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_69f76e42c878819095c8d19c0267fb87 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
Created at: May 3, 2026, 4:09 p.m.