Triple
T25204407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Engineering at Bucknell University |
E631209
|
entity |
| Predicate | sharesCurriculumComponentsWith |
P51975
|
FINISHED |
| Object | Bucknell University College of Arts and Sciences |
—
|
NE NERFINISHED |
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: Bucknell University College of Arts and Sciences | Statement: [College of Engineering at Bucknell University, sharesCurriculumComponentsWith, Bucknell University College of Arts and Sciences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesCurriculumComponentsWith Context triple: [College of Engineering at Bucknell University, sharesCurriculumComponentsWith, Bucknell University College of Arts and Sciences]
-
A.
sharesCurriculumWith
chosen
Indicates that two educational programs or courses use the same or substantially overlapping curriculum content.
-
B.
sharesComponentsWith
Indicates that two entities have one or more structural or functional components in common.
-
C.
sharesTrainingWith
Indicates that two entities have participated in the same training activity, program, or session.
-
D.
sharesModuleWith
Indicates that two entities are associated with or participate in at least one common module.
-
E.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
- 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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 21, 2026, 12:52 p.m.