Triple
T26317058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nell Hodgson Woodruff |
E661999
|
entity |
| Predicate | hasNamedSchool |
P113
|
FINISHED |
| Object | Nell Hodgson Woodruff School of Nursing |
—
|
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: Nell Hodgson Woodruff School of Nursing | Statement: [Nell Hodgson Woodruff, hasNamedSchool, Nell Hodgson Woodruff School of Nursing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNamedSchool Context triple: [Nell Hodgson Woodruff, hasNamedSchool, Nell Hodgson Woodruff School of Nursing]
-
A.
hasSchoolIn
Indicates that a school is located within or operates in a specified place or region.
-
B.
hasSchool
chosen
Indicates that an entity possesses, is associated with, or is served by a particular school.
-
C.
establishedAsNamedSchool
Indicates that an institution has been formally founded or designated under a specific school name.
-
D.
hasSchoolOrganization
Indicates that an educational institution is associated with or contains a specific school-related organization or group.
-
E.
hasRegionalSchool
Indicates that an entity has an associated school that serves or operates within a specific geographic region.
- 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_69ee812e73048190aae587f1d51e5a06 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 26, 2026, 10:25 p.m.