Triple
T33050990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ujima |
E845719
|
entity |
| Predicate | principleNumber |
P135260
|
FINISHED |
| Object | third principle of Kwanzaa |
—
|
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: third principle of Kwanzaa | Statement: [Ujima, principleNumber, third principle of Kwanzaa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: principleNumber Context triple: [Ujima, principleNumber, third principle of Kwanzaa]
-
A.
hasPrincipleNumber
chosen
Indicates that an entity is associated with a specific principle identified by a particular number.
-
B.
principlesCount
Indicates the number of principles associated with or applicable to a given entity or context.
-
C.
principle1
Indicates that one entity serves as a primary rule, guideline, or foundational principle governing or guiding another entity.
-
D.
principleClarified
Indicates that a principle has been made clearer or more explicit, typically by explanation, refinement, or elaboration.
-
E.
principle11
Indicates that an entity is governed or characterized by the eleventh principle within a defined ordered set of principles.
- 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_69f3495242e48190996a2cb2beab5455 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:24 a.m.