Triple
T845558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ñuble Region |
E18267
|
entity |
| Predicate | hasPrimarySector |
P16022
|
FINISHED |
| Object | primary sector 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: primary sector agriculture | Statement: [Ñuble Region, hasPrimarySector, primary sector agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimarySector Context triple: [Ñuble Region, hasPrimarySector, primary sector agriculture]
-
A.
isMajorIndustrialEconomy
Indicates that an entity is one of the world’s leading industrialized economies, characterized by large-scale industrial output and significant influence in global economic activity.
-
B.
hasPrincipalIndustry
Indicates that an entity’s main or primary industry of operation is the specified industry.
-
C.
economicSectorSourceOfWealth
chosen
Indicates that a particular economic sector is the primary source from which an entity derives its wealth or income.
-
D.
hasEconomicActivity
Indicates that an entity engages in, supports, or is associated with a specific type of economic activity or business operation.
-
E.
primaryServes
Indicates that one entity’s main or principal function is to serve, support, or provide service to 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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac0a91e48190b4349ae8bb67fd90 |
completed | March 1, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7f396c8190aa8b8dfbe0b4f732 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.