Triple
T115782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slavery Abolition Act 1833 |
E2334
|
entity |
| Predicate | introducedApprenticeshipSystem |
P4328
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Slavery Abolition Act 1833, introducedApprenticeshipSystem, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedApprenticeshipSystem Context triple: [Slavery Abolition Act 1833, introducedApprenticeshipSystem, true]
-
A.
occupationBegan
Indicates the point in time when an entity started holding a particular occupation or job.
-
B.
introduced
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
-
C.
createdRegimeOf
chosen
Indicates that one entity brought about, established, or was responsible for the formation of a particular regime or system of rule for another entity.
-
D.
inaugurated
Indicates that a person is formally introduced or installed into an official position, office, or role through a ceremonial event.
-
E.
traditionalInstitution
Indicates that an entity is a long-established, customary organization or system that embodies and maintains traditional practices or norms.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a257845c548190bfb49409988d1c57 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a256456d908190b52c937fe6c4343f |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.