Triple
T24195261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Granada campuses network |
E599814
|
entity |
| Predicate | hasAutonomousCityCampus |
P155132
|
FINISHED |
| Object | Ceuta |
—
|
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: Ceuta | Statement: [University of Granada campuses network, hasAutonomousCityCampus, Ceuta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAutonomousCityCampus Context triple: [University of Granada campuses network, hasAutonomousCityCampus, Ceuta]
-
A.
hasCampusCity
Indicates that an educational institution or campus is located in a particular city.
-
B.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
C.
hasPublicUniversityCampus
Indicates that a public university maintains or operates a campus at the specified location.
-
D.
hasMainCampus
Indicates that an educational institution is primarily based at or chiefly associated with a particular campus location.
-
E.
hasSubCampus
Indicates that an institution or main campus includes or is associated with a smaller, subordinate campus as part of its organizational structure.
- F. None of above. chosen
Provenance (4 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_69e288cdc8b88190bf2f835d3cb4ca28 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e24a139c8190a9eff2eafc11bf11 |
completed | April 29, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c9834064819082024233d9c6f98f |
completed | April 29, 2026, 9:04 a.m. |
Created at: April 17, 2026, 11:36 p.m.