Triple
T23797217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campus de Menton de Sciences Po |
E588571
|
entity |
| Predicate | thematicCampusOf |
P153593
|
FINISHED |
| Object | Sciences Po regional campuses network |
—
|
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: Sciences Po regional campuses network | Statement: [Campus de Menton de Sciences Po, thematicCampusOf, Sciences Po regional campuses network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thematicCampusOf Context triple: [Campus de Menton de Sciences Po, thematicCampusOf, Sciences Po regional campuses network]
-
A.
campus1
Indicates a relationship where an entity is identified as a campus or is located on/associated with a particular campus.
-
B.
campus
Indicates that an entity is located on, associated with, or taking place within a particular campus.
-
C.
cityCampus
Indicates that a campus is located within or associated with a particular city.
-
D.
campusCategory
Indicates the classification or type assigned to a campus within a broader organizational or geographic system.
-
E.
cityCentreCampus
Indicates that one entity is a campus located in or designated as the city centre campus of another entity (typically an institution or city).
- 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_69e25d15db58819092ac1e6791696fd9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c6ddc2d88190b6124d9fb2695d24 |
completed | April 29, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:50 p.m.