Triple
T16699956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Université de Lorraine |
E405817
|
entity |
| Predicate | hasMetzCampusResearchFocus |
P934
|
FINISHED |
| Object | engineering sciences |
—
|
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: engineering sciences | Statement: [Université de Lorraine, hasMetzCampusResearchFocus, engineering sciences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetzCampusResearchFocus Context triple: [Université de Lorraine, hasMetzCampusResearchFocus, engineering sciences]
-
A.
hasInstitutionalFocus
Indicates that an entity is oriented toward, concerned with, or primarily engaged in matters related to a particular institution or type of institution.
-
B.
researchCenter
Indicates that one entity functions as a research center associated with, operated by, or focused on the other entity.
-
C.
hasResearchArea
chosen
Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
-
D.
hasResearchOrientation
Indicates that an entity is associated with a particular focus, direction, or approach in its research activities.
-
E.
hasResearchCamp
Indicates that an entity operates, hosts, or is associated with a research camp.
- 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.