Triple
T7863669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Luxembourg |
E182561
|
entity |
| Predicate | hasInternationalFocus |
P1499
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [University of Luxembourg, hasInternationalFocus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalFocus Context triple: [University of Luxembourg, hasInternationalFocus, true]
-
A.
hasDomesticFocus
Indicates that an action, policy, or relationship is primarily concerned with internal or domestic matters within a specific country or jurisdiction.
-
B.
isInternational
chosen
Indicates that something has a connection to, involves, or extends across more than one country.
-
C.
hasInternationalDistrict
Indicates that an entity possesses, contains, or is associated with a designated international district within its boundaries or scope.
-
D.
hasInternationalStatus
Indicates that an entity holds a recognized status, role, or standing at the international level rather than being limited to a single country or local jurisdiction.
-
E.
hasInternationalCommission
Indicates that an entity is associated with, overseen by, or participates in an international commission.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36bfd8a4819093c2ef6d47891a68 |
completed | March 31, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:54 p.m.