Triple
T9975581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Lyon |
E196317
|
entity |
| Predicate | hasRegionSpecialization |
P21480
|
FINISHED |
| Object | Rhône-Alpes economic and industrial ecosystem |
—
|
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: Rhône-Alpes economic and industrial ecosystem | Statement: [University of Lyon, hasRegionSpecialization, Rhône-Alpes economic and industrial ecosystem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionSpecialization Context triple: [University of Lyon, hasRegionSpecialization, Rhône-Alpes economic and industrial ecosystem]
-
A.
specializationRegion
Indicates that something is specialized, adapted, or specifically applicable to a particular geographic or spatial region.
-
B.
regionSpecialization
chosen
Indicates that a region is designated or recognized as being particularly focused on, adapted to, or specialized in a specific function, activity, or domain.
-
C.
isSpecializedFor
Indicates that one entity is specifically adapted, designed, or focused to perform optimally for a particular function, context, or domain associated with another entity.
-
D.
includedSpecialRegionType
Indicates that a special or designated region is included within another region or context, specifying the type of that included special region.
-
E.
hasPortSpecialization
Indicates that an entity has a specific functional or technical specialization related to a port or interface.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb84b47308190aa2f94fa7320cdc3 |
completed | April 2, 2026, 12:28 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:48 p.m.