Triple
T1294650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dartmouth College |
E27626
|
entity |
| Predicate | undergraduateFocus |
P778
|
FINISHED |
| Object | strong |
—
|
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: strong | Statement: [Dartmouth College, undergraduateFocus, strong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: undergraduateFocus Context triple: [Dartmouth College, undergraduateFocus, strong]
-
A.
undergraduateOnly
Indicates that the associated activity, course, or resource is restricted exclusively to undergraduate students.
-
B.
undergraduatesApprox
Indicates that the relationship involves an approximate or estimated number of undergraduate students associated with an entity.
-
C.
academicFocus
chosen
Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
-
D.
undergraduateThesis
Indicates that one entity is an undergraduate student’s thesis work, authored or completed under the supervision or within the academic program of another entity.
-
E.
university2
Indicates a relationship where an entity is a university associated with, attended by, or otherwise linked to another entity.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c3bb3a9c81909db2ad91defd87b6 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bee64d908190b6a9bb479959d523 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.