Triple
T12423202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Association of State Colleges and Universities |
E296827
|
entity |
| Predicate | typicalMemberType |
P2776
|
FINISHED |
| Object | regional comprehensive university |
—
|
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: regional comprehensive university | Statement: [American Association of State Colleges and Universities, typicalMemberType, regional comprehensive university]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMemberType Context triple: [American Association of State Colleges and Universities, typicalMemberType, regional comprehensive university]
-
A.
typicalMembers
chosen
Indicates that the related entities are representative or characteristic members of a larger group, category, or class.
-
B.
typicalConstituentType
Indicates the usual or characteristic type of component that typically makes up or forms part of something.
-
C.
typicalGroup
Indicates that the subject belongs to or represents a standard, characteristic, or commonly occurring group associated with the object.
-
D.
typicalProfile
Indicates that an entity represents the standard or most representative profile or pattern for another entity.
-
E.
clubMembershipType
Indicates the specific category or level of membership that an entity holds within a club.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.