Triple
T32982831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidama people |
E843849
|
entity |
| Predicate | haveSocialInstitution |
P64535
|
FINISHED |
| Object | Luwa age-grade system |
—
|
NE NERFINISHED |
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: Luwa age-grade system | Statement: [Sidama people, haveSocialInstitution, Luwa age-grade system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveSocialInstitution Context triple: [Sidama people, haveSocialInstitution, Luwa age-grade system]
-
A.
hasInstitutions
chosen
Indicates that one entity possesses, contains, or is associated with one or more institutions.
-
B.
hasSocialService
Indicates that an entity provides, offers, or is associated with a social service to another entity or community.
-
C.
hasCommunityInstitutions
Indicates that an entity possesses, hosts, or is associated with organized community-serving institutions (such as local organizations, centers, or facilities) within its scope.
-
D.
hasSocialPractice
Indicates that one entity engages in, follows, or is characterized by a particular social practice or customary pattern of social behavior.
-
E.
hasSocialGroup
Indicates that an entity belongs to, is associated with, or participates in a particular social group or community.
- 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_69f3494c6f9c8190a255409fce8b1d3b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:22 a.m.