Triple
T24658018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thornton Academy |
E610447
|
entity |
| Predicate | hasAthleticPrograms |
P54
|
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: [Thornton Academy, hasAthleticPrograms, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAthleticPrograms Context triple: [Thornton Academy, hasAthleticPrograms, true]
-
A.
hasAthleticProgramType
Indicates that an institution’s athletic program belongs to or is classified under a specific type or category of athletic program.
-
B.
athleticProgramOf
Indicates that an athletic program is affiliated with, operated by, or belongs to a particular institution or organization.
-
C.
hasAthletics
chosen
Indicates that an entity participates in, is associated with, or offers athletics-related activities or programs.
-
D.
hasAthleticTeamType
Indicates that an entity’s athletic team participates in or is classified under a specific type or category of sport or competition.
-
E.
hasVarsityTeams
Indicates that an institution fields official varsity-level sports teams.
- 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_69e2c4d453248190a020354e93ef6282 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:34 a.m.