Triple
T24658016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thornton Academy |
E610447
|
entity |
| Predicate | offersDayForGrades |
P45220
|
FINISHED |
| Object | 6–12 |
—
|
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: 6–12 | Statement: [Thornton Academy, offersDayForGrades, 6–12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersDayForGrades Context triple: [Thornton Academy, offersDayForGrades, 6–12]
-
A.
offersGrades
Indicates that one entity provides or assigns academic grades to another entity.
-
B.
offersDayProgram
Indicates that an entity provides a structured program or service that takes place during daytime hours.
-
C.
offersGrade
Indicates that one entity assigns or provides an academic grade or evaluation to another entity.
-
D.
offersDaySchooling
chosen
Indicates that an entity provides daytime educational services without overnight accommodation.
-
E.
offersPass
Indicates that one entity provides or makes available a pass (such as a ticket, permit, or access credential) to another entity.
- 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_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 2:34 a.m.