Triple
T22099659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navy Midshipmen men's heavyweight rowing |
E546133
|
entity |
| Predicate | institutionTypeOfSponsor |
P303
|
FINISHED |
| Object | federal service academy |
—
|
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: federal service academy | Statement: [Navy Midshipmen men's heavyweight rowing, institutionTypeOfSponsor, federal service academy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: institutionTypeOfSponsor Context triple: [Navy Midshipmen men's heavyweight rowing, institutionTypeOfSponsor, federal service academy]
-
A.
institutionTypeOfOrganizer
Indicates the type or category of institution to which the organizer of an event or activity belongs.
-
B.
typeOfInstitution
chosen
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
C.
sponsoringInstitution
Indicates that an institution provides financial or organizational support to enable or underwrite an activity, project, event, or entity.
-
D.
governsInstitutionType
Indicates that an entity has authoritative control or regulatory oversight over a particular type or category of institution.
-
E.
supportsInstitutionType
Indicates that one entity provides backing, resources, or endorsement specifically for a particular type or category of institution.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291440048190992c48893ced0b34 |
completed | April 28, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:30 p.m.