Triple
T24744963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spike the Bulldog |
E618668
|
entity |
| Predicate | universityLevel |
P21900
|
FINISHED |
| Object | higher education institution mascot |
—
|
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: higher education institution mascot | Statement: [Spike the Bulldog, universityLevel, higher education institution mascot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universityLevel Context triple: [Spike the Bulldog, universityLevel, higher education institution mascot]
-
A.
collegeLevel
Indicates the academic level or year of study a person has reached within a college or university program.
-
B.
university
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
-
C.
university2
chosen
Indicates a relationship where an entity is a university associated with, attended by, or otherwise linked to another entity.
-
D.
hasUndergraduateLevel
Indicates that something possesses or is associated with an educational level corresponding to undergraduate studies.
-
E.
typeOfUniversity
Indicates the specific category or classification of a university (e.g., public, private, technical, etc.) that an institution belongs to.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:21 a.m.