Triple
T34019287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poulsbo campus |
E872335
|
entity |
| Predicate | hasParentInstitutionName |
P12147
|
FINISHED |
| Object | Olympic College |
—
|
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: Olympic College | Statement: [Poulsbo campus, hasParentInstitutionName, Olympic College]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParentInstitutionName Context triple: [Poulsbo campus, hasParentInstitutionName, Olympic College]
-
A.
parentInstitution
chosen
Indicates that one institution is the higher-level or owning organization to which another institution is subordinate or affiliated.
-
B.
hasParentInstitutionRussianName
Indicates that an institution is associated with a parent institution whose name is specified in Russian.
-
C.
hasParentInstitutionFocus
Indicates that an institution has a parent organization whose primary area of focus or specialization is being referenced.
-
D.
stateOfParentInstitution
Indicates the current condition or status of the institution that serves as the parent or governing body of another entity.
-
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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff691f5ae481908597ce245188d31c |
completed | May 9, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69ff67ceeeb081909fd00cad166c4b6a |
completed | May 9, 2026, 4:58 p.m. |
Created at: May 1, 2026, 1:51 a.m.