Triple
T18461153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claremont-Mudd-Scripps Stags and Athenas |
E451036
|
entity |
| Predicate | multiInstitutional |
P131745
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Claremont-Mudd-Scripps Stags and Athenas, multiInstitutional, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: multiInstitutional Context triple: [Claremont-Mudd-Scripps Stags and Athenas, multiInstitutional, true]
-
A.
parallelInstitution
Indicates that two institutions exist or operate in a corresponding, side-by-side, or functionally equivalent manner without one being subordinate to the other.
-
B.
mergedInstitution
Indicates that one institution has combined with another to form a single, unified institution.
-
C.
institutes
Indicates that an entity establishes, initiates, or formally sets up another entity, process, or system.
-
D.
inInstitution
Indicates that an entity is located within, belongs to, or is formally associated with a particular institution.
-
E.
involvesInstitution
Indicates that an action, event, or relationship includes or is associated with an institution as a participating party.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7fd9e081909bdf5c4aec2ba08d |
completed | April 19, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
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, 11:33 a.m.