Triple
T15687024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CEA-Leti |
E380226
|
entity |
| Predicate | hasLaboratoriesIn |
P95234
|
FINISHED |
| Object | Grenoble |
E91863
|
NE FINISHED |
How this triple was built (3 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: Grenoble | Statement: [CEA-Leti, hasLaboratoriesIn, Grenoble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grenoble Context triple: [CEA-Leti, hasLaboratoriesIn, Grenoble]
-
A.
Grenoble
chosen
Grenoble is a major city in southeastern France, known for its Alpine setting, universities, and research centers.
-
B.
Aix-les-Bains
Aix-les-Bains is a French spa and resort town in the Savoie department, renowned for its thermal baths and lakeside setting on the edge of the Alps.
-
C.
Chambéry
Chambéry is a historic city in southeastern France that served as the political and cultural center of the former Duchy of Savoy.
-
D.
Briançon
Briançon is a fortified alpine town in southeastern France, known as one of the highest cities in Europe and a key historical stronghold near the Italian border.
-
E.
Clermont-Ferrand
Clermont-Ferrand is a central French city known for its historic cathedral built of black volcanic stone and as the longtime headquarters of the tire company Michelin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLaboratoriesIn Context triple: [CEA-Leti, hasLaboratoriesIn, Grenoble]
-
A.
hasKeyLaboratory
Indicates that an entity possesses or is associated with a designated key laboratory, typically as an important research or development facility under its responsibility.
-
B.
hasLaboratorySystem
Indicates that one entity possesses, uses, or is associated with a particular laboratory system.
-
C.
hasLaboratoryServices
Indicates that one entity provides or makes available laboratory services to another entity or within a given context.
-
D.
hasLaboratorySpace
Indicates that an entity provides or contains designated laboratory facilities or areas for scientific or technical work.
-
E.
relatedLaboratory
chosen
Indicates that one entity has an associated or connected laboratory, such as a facility used for its research, testing, or experimental activities.
- F. None of above.
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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4cee5481908699fbb2b7bdd2f6 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82ebe98481908d528d2cba485de4 |
completed | May 9, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69deda8c856c8190882330114f9a1a5f |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:44 a.m.