Triple
T11108406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fryeburg Academy |
E262691
|
entity |
| Predicate | hasAthleticFields |
P33887
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Fryeburg Academy, hasAthleticFields, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAthleticFields Context triple: [Fryeburg Academy, hasAthleticFields, true]
-
A.
hasSportsGround
chosen
Indicates that an entity possesses, includes, or is associated with a sports ground or athletic field as part of its facilities or area.
-
B.
hasAthletics
Indicates that an entity participates in, is associated with, or offers athletics-related activities or programs.
-
C.
hasTennisCourt
Indicates that one entity possesses, includes, or provides access to a tennis court as part of its facilities or attributes.
-
D.
homeFieldOfAthletics
Indicates that a location serves as the primary home field or venue where a particular athletics team or organization hosts its events or competitions.
-
E.
hasBallcourt
Indicates that a place, structure, or site includes or is equipped with a ballcourt as one of its features.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a67d10c8190815d4c27d55270e8 |
completed | April 9, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.