Triple
T26067377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PSFA |
E657438
|
entity |
| Predicate | supportsDisciplineType |
P193987
|
FINISHED |
| Object | interdisciplinary programs |
—
|
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 programs | Statement: [PSFA, supportsDisciplineType, interdisciplinary programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDisciplineType Context triple: [PSFA, supportsDisciplineType, interdisciplinary programs]
-
A.
supportsDiscipline
Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
-
B.
includesDisciplineCategory
Indicates that one entity encompasses or contains a specific discipline category as part of its overall scope or classification.
-
C.
disciplineMayInclude
Indicates that a given discipline can encompass, involve, or contain the specified component, activity, or subfield as part of its scope.
-
D.
typeDiscipline
Indicates that an entity is associated with, categorized under, or characterized by a particular discipline or field of study.
-
E.
hasDisciplineIntegration
Indicates that one entity incorporates, connects, or coordinates multiple disciplines or fields within another entity or context.
- 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_69ee5bbe539081909efc7f9dd7c1b53c |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
| PDg | Predicate description generation | batch_69fd5d47da488190a4f2dbd44a0a83b2 |
completed | May 8, 2026, 3:49 a.m. |
Created at: April 26, 2026, 7:25 p.m.