Triple
T24824533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeuthen |
E621151
|
entity |
| Predicate | hasEducationalAndResearchRole |
P19609
|
FINISHED |
| Object | science and technology |
—
|
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: science and technology | Statement: [Zeuthen, hasEducationalAndResearchRole, science and technology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEducationalAndResearchRole Context triple: [Zeuthen, hasEducationalAndResearchRole, science and technology]
-
A.
hasEducationalRole
Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
-
B.
hasAcademicFunctionFor
Indicates that one entity performs or fulfills an academic role, duty, or function on behalf of or in relation to another entity.
-
C.
hasAcademicFunction
chosen
Indicates that an entity serves a specific academic role, duty, or function within an educational or scholarly context.
-
D.
hasAcademicPrecinctRole
Indicates that an entity holds a specific role or position within an academic precinct or campus area.
-
E.
hasEducationalWork
Indicates that one entity is the creator, contributor, or subject of an educational work (such as a textbook, course, or instructional material) associated with another entity.
- 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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
Created at: April 18, 2026, 5:05 a.m.