Triple
T23344902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STI |
E591829
|
entity |
| Predicate | roleWithinEPFL |
P126366
|
FINISHED |
| Object | major faculty |
—
|
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: major faculty | Statement: [STI, roleWithinEPFL, major faculty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleWithinEPFL Context triple: [STI, roleWithinEPFL, major faculty]
-
A.
roleAtInstitution
Indicates that an entity holds or has held a specific role or position within a particular institution.
-
B.
roleInInstitutions
chosen
Indicates that an entity holds or has held a specific role, position, or function within one or more institutions.
-
C.
campusRole
Indicates the specific position, function, or capacity an individual holds within a campus or academic institution.
-
D.
roleAtUCSD
Indicates that an entity holds or has held a specific role or position at the University of California, San Diego (UCSD).
-
E.
hasAcademicFunctionFor
Indicates that one entity performs or fulfills an academic role, duty, or function on behalf of or in relation to 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983697408190b31817174ed4e77b |
completed | April 29, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:19 p.m.