Triple
T30643449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlantic Technological University |
E780054
|
entity |
| Predicate | hasCampusRegion |
P143846
|
FINISHED |
| Object | western Ireland |
—
|
NE NERFINISHED |
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: western Ireland | Statement: [Atlantic Technological University, hasCampusRegion, western Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCampusRegion Context triple: [Atlantic Technological University, hasCampusRegion, western Ireland]
-
A.
isRegionalCampus
Indicates that one educational institution functions as a regional campus or satellite location of another, typically larger, institution.
-
B.
hasRegionalFocusCampus
chosen
Indicates that a campus is primarily oriented toward serving or addressing the needs of a specific geographic region.
-
C.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
D.
hasCampusState
Indicates that an institution’s campus is located within a specified state or state-level administrative region.
-
E.
hasCampusCity
Indicates that an educational institution or campus is located in a particular city.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
Created at: April 29, 2026, 8:29 p.m.