Triple
T23306142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lincoln County, Washington |
E590438
|
entity |
| Predicate | economyCharacter |
P52901
|
FINISHED |
| Object | agricultural-based |
—
|
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: agricultural-based | Statement: [Lincoln County, Washington, economyCharacter, agricultural-based]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economyCharacter Context triple: [Lincoln County, Washington, economyCharacter, agricultural-based]
-
A.
hasEconomyCharacteristic
chosen
Indicates that an economy possesses a particular attribute, feature, or quality.
-
B.
economyIncludes
Indicates that an economy encompasses, contains, or is composed of the specified component, sector, or element.
-
C.
hasEconomicActor
Indicates that an entity participates in or influences an economic activity, process, or system in the role of an economic actor.
-
D.
hasEconomicRole
Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
-
E.
protagonistBusiness
Indicates that a business is owned, operated, or primarily associated with the story’s protagonist.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972737c08190bd011776564c3861 |
completed | April 29, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 5:05 p.m.