Triple
T20511092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cavendish bananas |
E503561
|
entity |
| Predicate | commercialAdvantage |
P140375
|
FINISHED |
| Object | uniform size and appearance |
—
|
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: uniform size and appearance | Statement: [Cavendish bananas, commercialAdvantage, uniform size and appearance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commercialAdvantage Context triple: [Cavendish bananas, commercialAdvantage, uniform size and appearance]
-
A.
commercialAccess
Indicates that an entity is permitted to use or access something for commercial or profit-generating purposes.
-
B.
commercialActivity
Indicates an action or relationship involving the buying, selling, or exchange of goods or services for profit or other economic gain.
-
C.
commercialIntroduction
Indicates that one entity introduces or connects another entity to a commercial opportunity, partner, product, or service for business purposes.
-
D.
commercialSuccessIn
Indicates that something has achieved notable commercial success within a specified market, region, or domain.
-
E.
commercial
Indicates that one entity is engaged in a business-related or profit-oriented relationship, activity, or transaction with another entity.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dcb8f5c8190b0d4c09f3669a8ec |
completed | April 20, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:36 a.m.