Triple
T11799949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cárdenas |
E280597
|
entity |
| Predicate | primarySectorActivity |
P101656
|
FINISHED |
| Object | crop cultivation |
—
|
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: crop cultivation | Statement: [Cárdenas, primarySectorActivity, crop cultivation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySectorActivity Context triple: [Cárdenas, primarySectorActivity, crop cultivation]
-
A.
primarySectorCoverage
Indicates that one entity serves as the main or dominant sector in which another entity operates, focuses, or provides coverage.
-
B.
primaryTrade
Indicates that the referenced activity or exchange is the main or most significant trade relationship associated with the entities involved.
-
C.
primaryIndustrySeason
Indicates the main time of year or season during which an industry is most active or operates at its peak.
-
D.
primaryLandUse
Indicates the main or dominant way in which a given piece of land is utilized or designated (e.g., residential, agricultural, commercial).
-
E.
pastoralActivities
Indicates activities related to providing spiritual care, guidance, or religious leadership within a community.
- F. None of above. chosen
Provenance (4 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a4512c8190b7782e1dee053000 |
completed | April 10, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:42 p.m.