Triple
T17046793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Cruz La Laguna |
E413590
|
entity |
| Predicate | hasPrimaryIncomeSource |
P9503
|
FINISHED |
| Object | agriculture and 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: agriculture and tourism | Statement: [Santa Cruz La Laguna, hasPrimaryIncomeSource, agriculture and tourism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryIncomeSource Context triple: [Santa Cruz La Laguna, hasPrimaryIncomeSource, agriculture and tourism]
-
A.
hasMainBreadwinner
Indicates that one entity serves as the primary income earner or financial provider for another entity (such as a household or family).
-
B.
hasWealthSource
chosen
Indicates that an entity derives its wealth or financial resources from a specified source.
-
C.
requiresEarnedIncome
Indicates that something is conditional upon an individual or entity having earned income, such as wages or salary, in order to qualify or apply.
-
D.
usesForIncome
Indicates that one entity derives income or financial gain from using another entity.
-
E.
isUnemployedAtStartOf
Indicates that an individual is unemployed at the beginning of a specified time period or event.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9e3d8881909f197aba0e4c97e7 |
completed | April 18, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:34 a.m.