Triple
T62193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | nopal cactus |
E1235
|
entity |
| Predicate | fruitCommonName |
P4576
|
FINISHED |
| Object | prickly pear |
—
|
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: prickly pear | Statement: [nopal cactus, fruitCommonName, prickly pear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fruitCommonName Context triple: [nopal cactus, fruitCommonName, prickly pear]
-
A.
nationalFruit
Indicates that a particular fruit is officially designated as the national fruit of a country or region.
-
B.
typicalFlavor
Indicates that something characteristically has or is associated with a particular flavor.
-
C.
majorCrop
Indicates that a particular crop is one of the primary or most important crops cultivated in a given area or context.
-
D.
flowerType
Indicates the specific kind or category of flower associated with an entity.
-
E.
widelyCultivatedIn
Indicates that something is grown extensively or on a large scale within a particular place or region.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a251f74b0881909ad89127b8171277 |
completed | Feb. 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69a24ea242c8819086fe00bf01e6523e |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a251f6786081908eaaed6190695322 |
completed | Feb. 28, 2026, 2:24 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.