Triple
T34689232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otahuhu Intermediate School |
E890838
|
entity |
| Predicate | servesSchoolYears |
P3870
|
FINISHED |
| Object | middle years of schooling |
—
|
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: middle years of schooling | Statement: [Otahuhu Intermediate School, servesSchoolYears, middle years of schooling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesSchoolYears Context triple: [Otahuhu Intermediate School, servesSchoolYears, middle years of schooling]
-
A.
hasSchoolYears
Indicates a relationship where an educational institution is associated with specific academic years or grade levels it offers or covers.
-
B.
schoolYear
Indicates the academic year or grade level in which an entity (typically a student or class) is situated within an educational system.
-
C.
servesGradeLevels
chosen
Indicates that an entity (such as a school or program) provides services or instruction to students in the specified grade levels.
-
D.
schoolYearStart
Indicates the point in time or date when a particular school year begins.
-
E.
effectiveInSchoolYear
Indicates that something (such as a policy, program, or status) is in force or applicable during a specified school year.
- 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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ffc89596d08190b97bd60b45c7f9c0 |
completed | May 9, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69ffc81ba5dc8190ae94d44e2284948f |
completed | May 9, 2026, 11:49 p.m. |
Created at: May 1, 2026, 2:05 a.m.