Triple
T11061293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Half Hollow Hills area |
E261511
|
entity |
| Predicate | schoolDistrictBoundary |
P97581
|
FINISHED |
| Object | extendsAcrossTownLines |
—
|
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: extendsAcrossTownLines | Statement: [Half Hollow Hills area, schoolDistrictBoundary, extendsAcrossTownLines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolDistrictBoundary Context triple: [Half Hollow Hills area, schoolDistrictBoundary, extendsAcrossTownLines]
-
A.
schoolBoardDistricts
Indicates the specific school board district that has jurisdiction over or is associated with an entity.
-
B.
schoolDistrict
Indicates that one entity is a school district that administers, oversees, or serves the other entity (such as a school or geographic area).
-
C.
schoolDistrictHeadquartersLocatedIn
Indicates that the administrative headquarters of a school district is located within a specified geographic place.
-
D.
hasSchoolDistricts
Indicates that one entity administers, contains, or is associated with one or more school districts.
-
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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798ea834c819099401e69f995c59f |
completed | April 9, 2026, 12:17 p.m. |
| PD | Predicate disambiguation | batch_69d74411d9e881908c0eeafa0f38e4b6 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750c99f9881908ee2b01b6ce4b3a1 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:26 p.m.