Triple
T31448116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Most (traditional pear cider) |
E802243
|
entity |
| Predicate | productionCulture |
P81632
|
FINISHED |
| Object | rural |
—
|
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: rural | Statement: [Most (traditional pear cider), productionCulture, rural]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionCulture Context triple: [Most (traditional pear cider), productionCulture, rural]
-
A.
developedByCulture
Indicates that something (such as a practice, artifact, or idea) has been created, shaped, or brought into being through the influence or processes of a particular culture.
-
B.
culturalCategory
Indicates that one entity classifies or groups another entity according to a particular culture, tradition, or culturally defined type.
-
C.
culturalType
chosen
Indicates the classification of something according to its cultural category, style, or tradition.
-
D.
cultureMedium
Indicates the substance or environment used to grow, maintain, or study a biological specimen or culture.
-
E.
culturalOutcome
Indicates the resulting cultural effects, changes, or consequences produced by an action, event, or relationship.
- 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_69f348c5a6bc819092a557e95438976f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: April 30, 2026, 9:11 p.m.