Triple
T734307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reed College |
E14896
|
entity |
| Predicate | undergraduateThesis |
P19526
|
FINISHED |
| Object | required for all students |
—
|
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: required for all students | Statement: [Reed College, undergraduateThesis, required for all students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: undergraduateThesis Context triple: [Reed College, undergraduateThesis, required for all students]
-
A.
thesisType
Indicates the specific category or kind of thesis associated with an academic work or degree.
-
B.
doctoralThesisTitle
Indicates the title associated with a person's doctoral thesis.
-
C.
university
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
-
D.
undergraduateOnly
Indicates that the associated activity, course, or resource is restricted exclusively to undergraduate students.
-
E.
undergraduatesApprox
Indicates that the relationship involves an approximate or estimated number of undergraduate students associated with an entity.
- 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a66820548190b373deb117187c2c |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fafee081909bf356854c09aaff |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a66658948190bdae6e521951954f |
completed | March 1, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:37 p.m.