Triple
T34906366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewis College of Science and Letters facilities |
E1006737
|
entity |
| Predicate | servesAcademicProgramsIn |
P201265
|
FINISHED |
| Object | science |
—
|
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: science | Statement: [Lewis College of Science and Letters facilities, servesAcademicProgramsIn, science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesAcademicProgramsIn Context triple: [Lewis College of Science and Letters facilities, servesAcademicProgramsIn, science]
-
A.
hasAcademicProgramsWith
Indicates that two institutions or entities offer or participate in the same or jointly organized academic programs.
-
B.
governsAcademicProgramsAt
Indicates that an entity has authority over and is responsible for overseeing academic programs at a particular institution or location.
-
C.
academicProgramsMedium
Indicates the medium or format through which academic programs are delivered (e.g., online, in-person, hybrid).
-
D.
hasDoctoralPrograms
Indicates that an institution offers one or more doctoral-level academic degree programs.
-
E.
hasUndergraduatePrograms
Indicates that an educational institution offers one or more undergraduate-level academic programs.
- 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_69f76dc1b4a081909b4c6e4d8ec0aa2d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffe23081408190a121d901dbce1403 |
completed | May 10, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ffe18aed348190912a5996b2da728b |
completed | May 10, 2026, 1:38 a.m. |
| PDg | Predicate description generation | batch_69ffe22f453c81909867ee2d2047636f |
completed | May 10, 2026, 1:41 a.m. |
Created at: May 3, 2026, 4 p.m.