Triple
T12421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Napa Valley |
E250
|
entity |
| Predicate | economicActivity |
P81
|
FINISHED |
| Object | wine tourism |
—
|
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: wine tourism | Statement: [Napa Valley, economicActivity, wine tourism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicActivity Context triple: [Napa Valley, economicActivity, wine tourism]
-
A.
economicSystem
Indicates the type or structure of the economic organization or system under which an entity operates or to which it belongs.
-
B.
sector
Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
-
C.
activity
chosen
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
-
D.
fieldOfWork
Indicates the professional or academic domain in which an entity is primarily engaged or specializes.
-
E.
employer
Indicates a relationship where one entity hires, pays, and oversees the work of another entity.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a241ea1ea081908e8a81ca97531ba5 |
completed | Feb. 28, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69a23fe7da8c8190aea795b62cb91621 |
completed | Feb. 28, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.