Triple
T30247099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cayuga, Ontario |
E769084
|
entity |
| Predicate | hasLocalEducationFacility |
P179010
|
FINISHED |
| Object | elementary 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: elementary schools | Statement: [Cayuga, Ontario, hasLocalEducationFacility, elementary schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalEducationFacility Context triple: [Cayuga, Ontario, hasLocalEducationFacility, elementary schools]
-
A.
hasEducationFacilities
Indicates that an entity possesses or provides educational institutions, services, or infrastructure for learning and training.
-
B.
hasPrimaryEducationFacilityType
Indicates the type or category of primary education facility associated with an entity.
-
C.
hasLocalElementarySchools
chosen
Indicates that a place or area contains or is served by one or more elementary-level schools located within or very near its boundaries.
-
D.
hasParochialSchool
Indicates that an entity operates, is associated with, or includes a parochial (religious-affiliated) school.
-
E.
hasEducationalServiceArea
Indicates that an entity (such as an educational institution or authority) is responsible for providing educational services within a specified 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_69f224831dc08190b2e569b987264057 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: April 29, 2026, 7:39 p.m.