Triple
T24392245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troy, Idaho |
E614926
|
entity |
| Predicate | hasPrimaryAndSecondarySchool |
P156033
|
FINISHED |
| Object | Troy Junior-Senior High School |
—
|
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: Troy Junior-Senior High School | Statement: [Troy, Idaho, hasPrimaryAndSecondarySchool, Troy Junior-Senior High School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryAndSecondarySchool Context triple: [Troy, Idaho, hasPrimaryAndSecondarySchool, Troy Junior-Senior High School]
-
A.
hasPrimarySchoolLevel
Indicates that an entity possesses or is associated with a primary (elementary) level of schooling or education.
-
B.
hasSecondarySchoolLevel
Indicates that an entity possesses or is associated with a level of education corresponding to secondary school.
-
C.
hasSecondaryEducationFacilityType
Indicates the type or category of secondary education facility associated with an entity.
-
D.
hasPrimaryEducationFacilityType
Indicates the type or category of primary education facility associated with an entity.
-
E.
hasPublicMiddleSchool
Indicates that a given area or jurisdiction contains at least one publicly funded middle school.
- F. None of above. chosen
Provenance (4 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_69e2d7e509b88190a53155d4f3de45ce |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294595cec819084cbd5d1b0e08731 |
completed | April 29, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:04 a.m.