Triple
T27377745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fataluku people |
E691124
|
entity |
| Predicate | useOfLivestock |
P162650
|
FINISHED |
| Object | bridewealth payments |
—
|
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: bridewealth payments | Statement: [Fataluku people, useOfLivestock, bridewealth payments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: useOfLivestock Context triple: [Fataluku people, useOfLivestock, bridewealth payments]
-
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
Indicates that the specified livestock type is the main or most important kind of animal raised or kept by an entity.
-
C.
typeOfLivestock
Indicates the specific kind or category of livestock associated with or involved in a given context or entity.
-
D.
livestockImportance
Indicates the degree to which livestock play a significant role or hold value within a given context, such as an economy, livelihood, or system.
-
E.
usesAnimalCarcass
Indicates that an entity makes use of an animal’s dead body or its remains for some purpose.
- 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_69ef52022538819081f873d0c84a6dd6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62cd1912c8190ab3f3288442115a4 |
completed | May 2, 2026, 4:56 p.m. |
Created at: April 27, 2026, 12:21 p.m.