Triple
T37365983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blatchington Mill School |
E927711
|
entity |
| Predicate | servesAgeRangeTo |
P3005
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [Blatchington Mill School, servesAgeRangeTo, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesAgeRangeTo Context triple: [Blatchington Mill School, servesAgeRangeTo, 18]
-
A.
servesAgeRange
chosen
Indicates that a service, product, or offering is intended for or applicable to entities within a specified age range.
-
B.
ageRange
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
C.
intendedForAgeGroup
Indicates that something is designed, suitable, or targeted for use by a specific age group.
-
D.
supportsAgeRange
Indicates that one entity is compatible with, valid for, or designed to accommodate a specified range of ages.
-
E.
categoryOfPeopleServed
Indicates the type or group of people that are the primary recipients or beneficiaries of a service or activity.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a00694f72888190983fee7d687a6daa |
completed | May 10, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_6a00685dbf44819098ea0c86bb9e50d8 |
completed | May 10, 2026, 11:13 a.m. |
Created at: May 3, 2026, 4:16 p.m.