Triple
T5719811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camoapa, Nicaragua |
E126113
|
entity |
| Predicate | hasLivestockActivity |
P47296
|
FINISHED |
| Object | cattle breeding |
—
|
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 breeding | Statement: [Camoapa, Nicaragua, hasLivestockActivity, cattle breeding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLivestockActivity Context triple: [Camoapa, Nicaragua, hasLivestockActivity, cattle breeding]
-
A.
pastoralActivities
Indicates activities related to providing spiritual care, guidance, or religious leadership within a community.
-
B.
primaryLivestock
Indicates that the specified livestock type is the main or most important kind of animal raised or kept by an entity.
-
C.
hasRanch
Indicates that one entity owns, operates, or is associated with a ranch.
-
D.
typeOfLivestock
chosen
Indicates the specific kind or category of livestock associated with or involved in a given context or entity.
-
E.
hasPaddock
Indicates that one entity possesses or is associated with a specific paddock area or enclosure.
- 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c47f4c81909e6849c3be3e951c |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:46 p.m.