Triple
T23666861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Alegre de Sergipe |
E584601
|
entity |
| Predicate | hasLivestockSector |
P45980
|
FINISHED |
| Object | cattle raising |
—
|
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: cattle raising | Statement: [Monte Alegre de Sergipe, hasLivestockSector, cattle raising]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLivestockSector Context triple: [Monte Alegre de Sergipe, hasLivestockSector, cattle raising]
-
A.
livestockUse
Indicates how an entity is used or managed in relation to livestock, such as for raising, feeding, housing, or supporting livestock activities.
-
B.
primaryLivestock
chosen
Indicates that the specified livestock type is the main or most important kind of animal raised or kept by an entity.
-
C.
hasRuralEconomySector
Indicates that an entity participates in, contains, or is associated with an economic sector based on rural activities or rural development.
-
D.
hasPastoralArea
Indicates that one entity is assigned to, responsible for, or associated with a specific pastoral area or pastoral care region of another entity.
-
E.
typeOfLivestock
Indicates the specific kind or category of livestock associated with or involved in a given context or 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_69e24901421881908c17a5293bdd4a8e |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b40c48088190a61e9a73919bace5 |
completed | April 29, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:50 p.m.