Triple
T33051708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California (fictional setting) |
E845741
|
entity |
| Predicate | primaryEconomicActivityInFiction |
P206335
|
FINISHED |
| Object | viticulture |
—
|
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: viticulture | Statement: [California (fictional setting), primaryEconomicActivityInFiction, viticulture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryEconomicActivityInFiction Context triple: [California (fictional setting), primaryEconomicActivityInFiction, viticulture]
-
A.
hasFictionalEconomicActivity
Indicates that an entity is involved in an economic activity that exists only in a fictional or imaginary context.
-
B.
hasFictionalEconomyBasedOn
Indicates that one fictional economy is modeled after, inspired by, or structurally derived from another specified economy.
-
C.
fictionalIndustry
Indicates that an entity operates within an industry or sector that exists only in fiction rather than in the real world.
-
D.
fictionalActivity
Indicates that an entity participates in, performs, or is associated with an activity that exists only in fiction or imaginative contexts.
-
E.
workInFiction
Indicates that one entity is a fictional work in which the other entity appears or is set.
- 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_69f3495242e48190996a2cb2beab5455 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:24 a.m.