Triple
T36205523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agar Dinka people |
E1047387
|
entity |
| Predicate | usesCattleFor |
P162650
|
FINISHED |
| Object | bridewealth |
—
|
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 | Statement: [Agar Dinka people, usesCattleFor, bridewealth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCattleFor Context triple: [Agar Dinka people, usesCattleFor, bridewealth]
-
A.
useOfLivestock
chosen
Indicates the action or practice of employing livestock for a particular purpose or function.
-
B.
livestockUse
Indicates how an entity is used or managed in relation to livestock, such as for raising, feeding, housing, or supporting livestock activities.
-
C.
usesAnimalCarcass
Indicates that an entity makes use of an animal’s dead body or its remains for some purpose.
-
D.
usesBeefFromOwnCattle
Indicates that the subject uses beef sourced from cattle it owns or raises itself.
-
E.
primaryLivestock
Indicates that the specified livestock type is the main or most important kind of animal raised or kept by an 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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
Created at: May 3, 2026, 4:08 p.m.