Triple
T10652399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transkei |
E251004
|
entity |
| Predicate | createdUnderPolicy |
P53540
|
FINISHED |
| Object | bantustan policy |
—
|
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: bantustan policy | Statement: [Transkei, createdUnderPolicy, bantustan policy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdUnderPolicy Context triple: [Transkei, createdUnderPolicy, bantustan policy]
-
A.
createdUnder
Indicates that something was created during the time period or within the authority, rules, or conditions defined by another entity or context.
-
B.
createdUnderAdministrationOf
Indicates that something was created during the period when a particular person, group, or authority was in charge or held administrative control.
-
C.
negotiatedUnderPolicy
Indicates that an agreement or arrangement was reached through a negotiation process conducted in accordance with a specific policy or set of policy rules.
-
D.
targetedByPolicy
Indicates that an entity is the intended subject or focus of a specific policy’s rules, actions, or effects.
-
E.
createdAsAdministrativeUnit
chosen
Indicates that an entity was brought into existence specifically to function as an administrative unit within an organizational or governmental structure.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dff78ec88190a4d1863fe87245f6 |
completed | April 8, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69d6dd8753108190b799ffa0c760526e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:06 p.m.