Triple
T22851606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Principle |
E566368
|
entity |
| Predicate | viewsLiAs |
P102849
|
FINISHED |
| Object | objective and universal order |
—
|
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: objective and universal order | Statement: [School of Principle, viewsLiAs, objective and universal order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsLiAs Context triple: [School of Principle, viewsLiAs, objective and universal order]
-
A.
viewsAliAs
Indicates that one entity holds a particular perception, opinion, or characterization of Ali.
-
B.
viewsAs
chosen
Indicates that one entity perceives, interprets, or regards another entity in a particular way or role.
-
C.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
-
D.
viewsPerson
Indicates that one person looks at, observes, or watches another person.
-
E.
viewsClientAs
Indicates that one entity regards or treats another entity as a client within a service, business, or professional relationship.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eb8b3588190b2bc8e7021f9ef10 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:36 p.m.