Triple
T5256459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Smyrna |
E118710
|
entity |
| Predicate | fieldOfNotableFacultyMember |
P10780
|
FINISHED |
| Object | mathematics |
—
|
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: mathematics | Statement: [University of Smyrna, fieldOfNotableFacultyMember, mathematics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfNotableFacultyMember Context triple: [University of Smyrna, fieldOfNotableFacultyMember, mathematics]
-
A.
hasNotableFacultyField
chosen
Indicates that an institution’s notable faculty are associated with or specialize in a particular academic or professional field.
-
B.
notableProfessor
Indicates that a person holds or has held a professorship that is distinguished, prominent, or otherwise recognized as notable.
-
C.
notableStudentOrColleague
Indicates that one entity is a notable student or professional colleague of another entity.
-
D.
hasFaculty
Indicates that an institution or department possesses or is associated with one or more faculty members.
-
E.
hasUniversityFaculty
Indicates that a university or academic institution employs or is associated with one or more faculty members.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ba4ecd88190800b5e4eea3abed5 |
completed | March 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69bd77c30bac8190a883ca45da35d667 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.