Triple
T18478550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regional Studies Program |
E451497
|
entity |
| Predicate | hasDisciplinaryApproach |
P131805
|
FINISHED |
| Object | interdisciplinary |
—
|
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: interdisciplinary | Statement: [Regional Studies Program, hasDisciplinaryApproach, interdisciplinary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDisciplinaryApproach Context triple: [Regional Studies Program, hasDisciplinaryApproach, interdisciplinary]
-
A.
hasDisciplineSystem
Indicates that an entity possesses or is governed by a particular system of rules, methods, or practices for maintaining discipline.
-
B.
hasDisplayDiscipline
Indicates that an entity is associated with a particular academic or professional discipline in which its content is displayed or categorized.
-
C.
hasDisciplineRole
Indicates that an entity holds a specific role or function within a particular discipline or field.
-
D.
supportsDiscipline
Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
-
E.
hasAwardedDiscipline
Indicates that one entity has formally imposed or granted a disciplinary action or sanction upon another entity.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53065e8388190bb216dae89f8cf75 |
completed | April 19, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69e469d671088190b619de96ea6f92ab |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:35 a.m.