Triple
T22566168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanford-Brown College |
E557955
|
entity |
| Predicate | hadCampusesIn |
P65174
|
FINISHED |
| Object | multiple U.S. states |
—
|
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: multiple U.S. states | Statement: [Sanford-Brown College, hadCampusesIn, multiple U.S. states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadCampusesIn Context triple: [Sanford-Brown College, hadCampusesIn, multiple U.S. states]
-
A.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
B.
hadInstitution
Indicates that an entity was affiliated with, operated within, or was served by a particular institution during some period of time.
-
C.
hasMultipleCampuses
chosen
Indicates that an educational institution operates more than one physical campus location.
-
D.
hasSiblingCampus
Indicates that one campus is recognized as a sibling or peer campus of another within the same institution or organizational network.
-
E.
hasAdditionalCampus
Indicates that an educational institution maintains one or more campuses in addition to its primary or main campus.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa9ebc8819098d74fb41e14bd7e |
completed | April 29, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:52 p.m.