Triple
T10348218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twelve Oaks plantation |
E243807
|
entity |
| Predicate | fictionalEconomicBase |
P35913
|
FINISHED |
| Object | cotton agriculture |
—
|
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: cotton agriculture | Statement: [Twelve Oaks plantation, fictionalEconomicBase, cotton agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalEconomicBase Context triple: [Twelve Oaks plantation, fictionalEconomicBase, cotton agriculture]
-
A.
hasFictionalEconomicActivity
chosen
Indicates that an entity is involved in an economic activity that exists only in a fictional or imaginary context.
-
B.
economicSystem
Indicates the type or structure of the economic organization or system under which an entity operates or to which it belongs.
-
C.
fictionalField
Indicates that the subject is associated with a fictional or imaginary field, domain, or area rather than a real-world one.
-
D.
economicFramework
Indicates the overarching system of principles, rules, and structures that organize and govern economic activities and relationships.
-
E.
fictionalSocialClass
Indicates a relationship where an entity is assigned to or associated with a social class that exists only within a fictional or imagined context.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e945d51881908dd2af6c78344c9b |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:56 a.m.