Triple
T31060477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of History (Ithaca College) |
E791522
|
entity |
| Predicate | parentSchoolType |
P185323
|
FINISHED |
| Object | school of humanities and sciences |
—
|
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: school of humanities and sciences | Statement: [Department of History (Ithaca College), parentSchoolType, school of humanities and sciences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentSchoolType Context triple: [Department of History (Ithaca College), parentSchoolType, school of humanities and sciences]
-
A.
schoolTypeAttended
Indicates the specific type or category of school that an entity has attended.
-
B.
typeOfSchoolDistrict
Indicates the classification or category of a school district, specifying what kind of school district it is.
-
C.
schoolSystemType
Indicates the classification or organizational model of a school system (e.g., public, private, charter, or other structural type).
-
D.
publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
-
E.
schoolSector
Indicates the educational sector or category (such as public, private, or charter) to which a school belongs.
- F. None of above. chosen
Provenance (4 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_69f224cc0c5c81908404f087bff92997 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be520f148190ba200bf3dbf40656 |
completed | May 3, 2026, 9:29 p.m. |
Created at: April 29, 2026, 9 p.m.