Triple
T31921485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvard Medal |
E814982
|
entity |
| Predicate | isTiedToInstitution |
P2227
|
FINISHED |
| Object | Harvard University |
—
|
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: Harvard University | Statement: [Harvard Medal, isTiedToInstitution, Harvard University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTiedToInstitution Context triple: [Harvard Medal, isTiedToInstitution, Harvard University]
-
A.
associatedWithInstitution
chosen
Indicates that an entity has a formal or recognized connection or affiliation with an institution.
-
B.
hasInstitutions
Indicates that one entity possesses, contains, or is associated with one or more institutions.
-
C.
isPrincipalInstitutionOfHigherEducationIn
Indicates that an institution serves as the main or primary higher-education provider within a specified area or jurisdiction.
-
D.
hasPrimaryInstitutionType
Indicates that an entity’s main or principal institutional classification or category is of a specified type.
-
E.
associatedWithCurrentInstitutionName
Indicates that an entity has an affiliation or connection with the institution identified by the current institution name.
- 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_69f348f1df848190851bbfb988da3414 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b1f63a40819080e51743627059c7 |
completed | May 3, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69f6aca7081881909e96a8b05ec086bb |
completed | May 3, 2026, 2:02 a.m. |
Created at: May 1, 2026, 12:03 a.m.