Triple
T30247098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cayuga, Ontario |
E769084
|
entity |
| Predicate | hasLocalSportsFacility |
P6792
|
FINISHED |
| Object | Cayuga Memorial Arena |
—
|
NE NERFINISHED |
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: Cayuga Memorial Arena | Statement: [Cayuga, Ontario, hasLocalSportsFacility, Cayuga Memorial Arena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalSportsFacility Context triple: [Cayuga, Ontario, hasLocalSportsFacility, Cayuga Memorial Arena]
-
A.
hasLocalSport
Indicates that a place or community is associated with, supports, or regularly engages in a particular sport at the local level.
-
B.
hasLocalFootballGround
Indicates that a place or organization possesses or is associated with a nearby football ground used for local matches or activities.
-
C.
hasRecreationFacility
chosen
Indicates that one entity provides, contains, or is equipped with a recreational facility for use by another entity or by the public.
-
D.
hasSportsPrecinct
Indicates that an entity includes, contains, or is associated with a designated area or complex specifically intended for sports activities or facilities.
-
E.
hasProfessionalSportsVenue
Indicates that one entity possesses or hosts a venue specifically used for professional sports events.
- 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_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: April 29, 2026, 7:39 p.m.