Triple
T35563759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New College of California |
E1027708
|
entity |
| Predicate | hadMottoType |
P504
|
FINISHED |
| Object | socially engaged education |
—
|
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: socially engaged education | Statement: [New College of California, hadMottoType, socially engaged education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadMottoType Context triple: [New College of California, hadMottoType, socially engaged education]
-
A.
mottoType
chosen
Indicates the specific category or kind of motto that characterizes the relationship between an entity and its motto.
-
B.
hasMottoSymbol
Indicates that an entity’s motto is represented or accompanied by a particular symbol.
-
C.
hasMottoDepiction
Indicates that something visually represents or depicts the motto associated with an entity.
-
D.
mottoPresent
Indicates that an entity currently has an official motto associated with it.
-
E.
mottoStyle
Indicates the stylistic form or presentation in which a motto is expressed.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.