Triple
T26931145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwood, Ohio |
E678223
|
entity |
| Predicate | formerInstitutionLocatedHere |
P140238
|
FINISHED |
| Object | Geneva 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: Geneva College | Statement: [Northwood, Ohio, formerInstitutionLocatedHere, Geneva College]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerInstitutionLocatedHere Context triple: [Northwood, Ohio, formerInstitutionLocatedHere, Geneva College]
-
A.
formerInstitutionOnSite
Indicates that another institution previously occupied or operated on the same physical site as the current institution.
-
B.
hasFormerInstitution
Indicates that an entity was previously affiliated with, employed by, or enrolled in a particular institution in the past.
-
C.
formerlyHadEducationalInstitution
chosen
Indicates that an entity once hosted or contained a particular educational institution, but that institution is no longer present or active there.
-
D.
hadInstitution
Indicates that an entity was affiliated with, operated within, or was served by a particular institution during some period of time.
-
E.
hasFormerInstitutionName
Indicates that an institution was previously known by a different 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_69eeeb4cac908190a45956c2993d1cc2 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: April 27, 2026, 6:12 a.m.