Triple
T8772892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unorganized Borough, Alaska |
E208506
|
entity |
| Predicate | hasSchoolDistricts |
P85311
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Unorganized Borough, Alaska, hasSchoolDistricts, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSchoolDistricts Context triple: [Unorganized Borough, Alaska, hasSchoolDistricts, yes]
-
A.
schoolDistrict
Indicates that one entity is a school district that administers, oversees, or serves the other entity (such as a school or geographic area).
-
B.
schoolBoardDistricts
Indicates the specific school board district that has jurisdiction over or is associated with an entity.
-
C.
sharesRegionalSchoolDistrictWith
Indicates that two entities are part of, or served by, the same regional school district.
-
D.
typeOfSchoolDistrict
Indicates the classification or category of a school district, specifying what kind of school district it is.
-
E.
schoolDistrictNumber
Indicates the specific numerical identifier assigned to the school district with which an entity is associated.
- 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f2dc87c8190be0597a260d95a0b |
completed | March 31, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1aff3881908be6a9cbc9f50461 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:41 p.m.