Triple
T30508622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hesston, Kansas |
E776346
|
entity |
| Predicate | hasReligiousCollege |
P69155
|
FINISHED |
| Object | Mennonite college |
—
|
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: Mennonite college | Statement: [Hesston, Kansas, hasReligiousCollege, Mennonite college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligiousCollege Context triple: [Hesston, Kansas, hasReligiousCollege, Mennonite college]
-
A.
hasColleges
Indicates that an entity possesses, contains, or is associated with one or more colleges.
-
B.
hasCollegesType
chosen
Indicates that an entity is associated with or classified by a particular type or category of college.
-
C.
associatedSchoolOfReligion
Indicates that an entity is connected with or belongs to a particular school or tradition within a religion.
-
D.
hasAffiliatedCollegesIn
Indicates that an institution maintains affiliated colleges located within a specified geographic area or jurisdiction.
-
E.
hasTheologicalFacultyAt
Indicates that an institution possesses or hosts a theological faculty at a specified location or campus.
- 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_69f2249a155c8190b1d512106007e9bb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00818b20a881909fbf3bb33dcf7029 |
completed | May 10, 2026, 1 p.m. |
| PD | Predicate disambiguation | batch_6a0080f76f588190a933238861243d1a |
completed | May 10, 2026, 12:58 p.m. |
Created at: April 29, 2026, 8:16 p.m.