Triple
T14531124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EM Lyon Business School |
E340916
|
entity |
| Predicate | hasInternationalPartners |
P14377
|
FINISHED |
| Object | foreign universities |
—
|
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: foreign universities | Statement: [EM Lyon Business School, hasInternationalPartners, foreign universities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalPartners Context triple: [EM Lyon Business School, hasInternationalPartners, foreign universities]
-
A.
internationalPartners
chosen
Indicates that two or more entities are engaged in a formal or recognized partnership that crosses national boundaries.
-
B.
hasExternalPartner
Indicates that an entity is engaged in a relationship, collaboration, or interaction with a partner organization or individual outside its own structure or system.
-
C.
hasPartnerOrganization
Indicates that an entity is formally associated or collaborates with another entity as a partner organization.
-
D.
hasIndustryPartnerships
Indicates that an entity maintains formal collaborative or cooperative relationships with organizations in a particular industry.
-
E.
hasJointVenturePartner
Indicates that an entity is engaged in a joint venture relationship with another entity as a formal business partner.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea052d01c81909c8592c351be6f35 |
completed | April 14, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.