Triple
T16245998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tauwhare |
E394371
|
entity |
| Predicate | educationCatchmentFor |
P226
|
FINISHED |
| Object | secondary schools in Hamilton |
—
|
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: secondary schools in Hamilton | Statement: [Tauwhare, educationCatchmentFor, secondary schools in Hamilton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationCatchmentFor Context triple: [Tauwhare, educationCatchmentFor, secondary schools in Hamilton]
-
A.
educationIntegration
Indicates the incorporation or coordination of educational content, methods, or systems into a broader program, environment, or framework.
-
B.
educationFacility
Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
-
C.
schoolSector
Indicates the educational sector or category (such as public, private, or charter) to which a school belongs.
-
D.
educationSetting
Indicates the type or context of the educational environment in which the related entity participates or operates.
-
E.
schoolDistrict
chosen
Indicates that one entity is a school district that administers, oversees, or serves the other entity (such as a school or geographic area).
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24561d250819096f709ea8751fcb9 |
completed | April 17, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.