Triple
T34698908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyangatom people |
E1000306
|
entity |
| Predicate | usesSocialOrganizationType |
P194145
|
FINISHED |
| Object | age-set system |
—
|
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: age-set system | Statement: [Nyangatom people, usesSocialOrganizationType, age-set system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSocialOrganizationType Context triple: [Nyangatom people, usesSocialOrganizationType, age-set system]
-
A.
usesOrganization
Indicates that one entity makes use of, relies on, or operates through a particular organization to perform its functions or activities.
-
B.
socialOrganizationDescribedBy
Indicates that a social organization is documented, characterized, or explained by a particular description or informational resource.
-
C.
usedByOrganizationType
Indicates that something is utilized or employed by organizations of a specified type.
-
D.
usedInOrganization
Indicates that something (such as a tool, method, or resource) is employed or applied within a particular organization.
-
E.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
- 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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69fd64bb345c819096a35c72784a8ce3 |
completed | May 8, 2026, 4:21 a.m. |
Created at: May 3, 2026, 3:59 p.m.