Triple
T12846391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ca River |
E307186
|
entity |
| Predicate | localEconomyRole |
P2223
|
FINISHED |
| Object | supports 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: supports agriculture | Statement: [Ca River, localEconomyRole, supports agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localEconomyRole Context triple: [Ca River, localEconomyRole, supports agriculture]
-
A.
localEconomyImpact
Indicates the effect that an action, event, or entity has on the economic conditions, activities, or performance of a specific local area or community.
-
B.
socioeconomicRole
Indicates the social and economic position, function, or status an entity holds within a society or system.
-
C.
laborMarketRole
Indicates the role, function, or position an entity holds within the labor market, such as its job type, employment status, or economic participation category.
-
D.
hasEconomicRole
chosen
Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
-
E.
urbanRole
Indicates the function, status, or role that an entity holds within an urban or city 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa3002881908000357b1f95a3ac |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:36 p.m.