Triple
T4550220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of North Alabama |
E110143
|
entity |
| Predicate | hasHistoricCampus |
P47590
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [University of North Alabama, hasHistoricCampus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricCampus Context triple: [University of North Alabama, hasHistoricCampus, true]
-
A.
isHistoricCampus
chosen
Indicates that a campus has historical significance or heritage status, often due to its age, architecture, or role in past events.
-
B.
hasHistoricUniversity
Indicates that an entity is associated with or contains a university of historical significance.
-
C.
hasFormerInstitution
Indicates that an entity was previously affiliated with, employed by, or enrolled in a particular institution in the past.
-
D.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
E.
hasLegacyInstitution
Indicates that an entity is historically derived from, or continues the role or traditions of, an earlier institution.
- 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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57f5a0a081909977ccbb8aba633c |
completed | March 20, 2026, 2:21 p.m. |
| PD | Predicate disambiguation | batch_69bd5223423c81908317351b58cff5f5 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:05 p.m.