Triple
T17739568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rankin Inlet |
E442816
|
entity |
| Predicate | hasPrimaryEducationLevel |
P100433
|
FINISHED |
| Object | elementary school |
—
|
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: elementary school | Statement: [Rankin Inlet, hasPrimaryEducationLevel, elementary school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryEducationLevel Context triple: [Rankin Inlet, hasPrimaryEducationLevel, elementary school]
-
A.
hasPrimaryEducationFacilityType
Indicates the type or category of primary education facility associated with an entity.
-
B.
hasEducationalStatus
chosen
Indicates that an entity possesses a particular level, state, or condition of formal education or academic attainment.
-
C.
educationStatus
Indicates the current or achieved level, stage, or condition of an entity’s formal education.
-
D.
primarySchool
Indicates that one entity serves as the primary (elementary) school attended by, associated with, or designated for the other entity.
-
E.
hasEducationIn
Indicates that an entity has received education, training, or formal study in a specified field, subject, or discipline.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acb05848190a4b7edb98f15b8c6 |
completed | April 19, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:09 a.m.