Triple
T26627356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purdue University regional campuses |
E668390
|
entity |
| Predicate | sharesCurriculaWith |
P51975
|
FINISHED |
| Object | Purdue University West Lafayette |
—
|
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: Purdue University West Lafayette | Statement: [Purdue University regional campuses, sharesCurriculaWith, Purdue University West Lafayette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesCurriculaWith Context triple: [Purdue University regional campuses, sharesCurriculaWith, Purdue University West Lafayette]
-
A.
sharesCurriculumWith
chosen
Indicates that two educational programs or courses use the same or substantially overlapping curriculum content.
-
B.
sharesTrainingWith
Indicates that two entities have participated in the same training activity, program, or session.
-
C.
sharesInstitution
Indicates that two entities are affiliated with or belong to the same institution.
-
D.
sharesTeachingsWith
Indicates that one entity communicates or imparts its knowledge, doctrines, or instructional content to another entity.
-
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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: April 27, 2026, 2:23 a.m.