Triple
T15556502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirranbandi |
E370882
|
entity |
| Predicate | offersSecondaryEducationToYear |
P52828
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Dirranbandi, offersSecondaryEducationToYear, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersSecondaryEducationToYear Context triple: [Dirranbandi, offersSecondaryEducationToYear, 10]
-
A.
hasSecondaryEducationFacilityType
Indicates the type or category of secondary education facility associated with an entity.
-
B.
schoolYear
chosen
Indicates the academic year or grade level in which an entity (typically a student or class) is situated within an educational system.
-
C.
schoolTypeOffered
Indicates the specific type or category of school that is provided or made available by an educational institution or organization.
-
D.
offersEducationIn
Indicates that an entity provides or delivers educational programs, courses, or instruction in a specified field, subject, or area.
-
E.
offersEducationTo
Indicates that one entity provides educational services, instruction, or learning opportunities 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a97dbfc8190a98cbbac5e71ba88 |
completed | April 16, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69deda7e6e748190b29ccce23298afef |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:09 a.m.