Triple
T16699936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Université de Lorraine |
E405817
|
entity |
| Predicate | hasMetzCampusSpecialization |
P36070
|
FINISHED |
| Object | science |
—
|
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: science | Statement: [Université de Lorraine, hasMetzCampusSpecialization, science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetzCampusSpecialization Context triple: [Université de Lorraine, hasMetzCampusSpecialization, science]
-
A.
isSpecializedCampus
chosen
Indicates that a campus is dedicated to a specific field, discipline, or set of specialized programs rather than offering a broad, general curriculum.
-
B.
hasSpecializedSchool
Indicates that an entity operates or is associated with a school focused on a specific field, discipline, or specialized type of education.
-
C.
hasCampusCity
Indicates that an educational institution or campus is located in a particular city.
-
D.
hasUniversityBranch
Indicates that an institution maintains an official branch or satellite campus of a university at a given location or within another organization.
-
E.
hasSurfaceCampus
Indicates that one entity (typically an institution) maintains a physical campus or site located on the surface of another entity (such as a planet or celestial body).
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e383300d108190911e3cba8e07f2dd |
completed | April 18, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.