Triple
T12785685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clenchwarton Primary School |
E305619
|
entity |
| Predicate | offersEducationToAgeRange |
P72504
|
FINISHED |
| Object | 4–11 |
—
|
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: 4–11 | Statement: [Clenchwarton Primary School, offersEducationToAgeRange, 4–11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersEducationToAgeRange Context triple: [Clenchwarton Primary School, offersEducationToAgeRange, 4–11]
-
A.
offersEducationTo
Indicates that one entity provides educational services, instruction, or learning opportunities to another entity.
-
B.
offersEducationIn
Indicates that an entity provides or delivers educational programs, courses, or instruction in a specified field, subject, or area.
-
C.
offersDaySchooling
Indicates that an entity provides daytime educational services without overnight accommodation.
-
D.
offersBasicEducationComponent
Indicates that an entity provides a fundamental or introductory educational component as part of its offerings.
-
E.
acceptsPupilsFromAge
chosen
Indicates that an entity (such as a school or program) enrolls or admits pupils starting from a specified minimum age.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5cb3c08190b8e1e22de8b96e17 |
completed | April 10, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69d9640ba0688190973e4e7ec8d4a8e0 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:29 p.m.