Triple
T24658020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thornton Academy |
E610447
|
entity |
| Predicate | hasSTEMPrograms |
P146272
|
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, hasSTEMPrograms, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSTEMPrograms Context triple: [Thornton Academy, hasSTEMPrograms, true]
-
A.
hasSTEMProgram
chosen
Indicates that an institution offers an academic program focused on science, technology, engineering, and/or mathematics (STEM).
-
B.
hasUndergraduatePrograms
Indicates that an educational institution offers one or more undergraduate-level academic programs.
-
C.
hasOnlinePrograms
Indicates that an entity offers or provides programs, courses, or services that are available online.
-
D.
hasNoUndergraduatePrograms
Indicates that the institution or entity does not offer any undergraduate-level academic programs.
-
E.
hasAcademicProgramsWith
Indicates that two institutions or entities offer or participate in the same or jointly organized academic programs.
- 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.