Triple
T37015928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mattawan, Michigan |
E916078
|
entity |
| Predicate | hasSchoolDistrictReputation |
P64823
|
FINISHED |
| Object | strong local schools |
—
|
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: strong local schools | Statement: [Mattawan, Michigan, hasSchoolDistrictReputation, strong local schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSchoolDistrictReputation Context triple: [Mattawan, Michigan, hasSchoolDistrictReputation, strong local schools]
-
A.
schoolDistrictReputation
chosen
Indicates the perceived quality and standing of a school district based on factors like academics, safety, resources, and community opinion.
-
B.
hasSchoolDistricts
Indicates that one entity administers, contains, or is associated with one or more school districts.
-
C.
schoolDistrict
Indicates that one entity is a school district that administers, oversees, or serves the other entity (such as a school or geographic area).
-
D.
previousSchoolDistrict
Indicates the school district in which an entity (typically a student) was enrolled or associated before their current school district.
-
E.
sharesRegionalSchoolDistrictWith
Indicates that two entities are part of, or served by, the same regional school district.
- 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_69f76e920dc48190acb6bb7ebc4dffab |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: May 3, 2026, 4:14 p.m.