Triple
T15687048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CEA Grenoble |
E380227
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | CEA Tech |
E380225
|
NE 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: CEA Tech | Statement: [CEA Grenoble, partOf, CEA Tech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CEA Tech Context triple: [CEA Grenoble, partOf, CEA Tech]
-
A.
CEA Tech
chosen
CEA Tech is the technological research division of France’s Atomic Energy and Alternative Energies Commission (CEA), focused on developing and transferring advanced industrial and digital technologies.
-
B.
ContiTech
ContiTech is a division of Continental AG that specializes in rubber and plastics technology, producing engineered products such as hoses, conveyor belts, and vibration control components for various industries.
-
C.
Imtech
Imtech was a European technical services provider specializing in electrical engineering, ICT, and mechanical services for buildings and industry.
-
D.
Silatech
Silatech is a Qatar-based non-profit organization focused on promoting youth employment and economic opportunities across the Arab world.
-
E.
Cegelec
Cegelec is an international engineering and technology services company specializing in electrical, automation, and information systems for infrastructure and industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_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_69ff6ee740e08190aa048b374ea7bfa0 |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:44 a.m.