Triple
T35945594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pimenta dioica |
E1039578
|
entity |
| Predicate | fruitColorWhenDried |
P18450
|
FINISHED |
| Object | brown |
—
|
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: brown | Statement: [Pimenta dioica, fruitColorWhenDried, brown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fruitColorWhenDried Context triple: [Pimenta dioica, fruitColorWhenDried, brown]
-
A.
fruitCharacteristic
chosen
Indicates that a specified characteristic or property is attributed to a particular fruit.
-
B.
colorOfBerrySkin
Indicates the specific color that characterizes the outer skin of a berry.
-
C.
colorOfRind
Indicates the specific color that characterizes the outer rind or skin surface of an entity.
-
D.
dryingProperty
Indicates a relationship where an entity has the capacity or tendency to remove moisture from another entity or environment.
-
E.
isDriedLegume
Indicates that an entity is a legume that has been harvested and dried, typically for storage or later consumption.
- 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_69f76e24bbd0819096b837d35371639a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:07 p.m.