Triple
T16970176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leehurst Swan School |
E411648
|
entity |
| Predicate | hasEarlyYearsProvision |
P125436
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Leehurst Swan School, hasEarlyYearsProvision, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEarlyYearsProvision Context triple: [Leehurst Swan School, hasEarlyYearsProvision, true]
-
A.
hasEarlyRecruitmentBase
Indicates that an entity has an initial or foundational group from which it recruits members or participants earlier than usual in a process or timeline.
-
B.
earlyUse
Indicates that an entity is used or adopted at an unusually early time or stage relative to a typical or expected point of use.
-
C.
isEarliestAgeOf
Indicates that one value represents the minimum or first age at which a specified condition, event, or state occurs for an entity.
-
D.
hasEarlyCenter
Indicates that an entity possesses or is associated with a primary focal point, hub, or center that occurs or is established earlier than others in time or sequence.
-
E.
regionOfEarlyReception
Indicates the geographic area where something was first received, adopted, or influentially taken up.
- F. None of above. chosen
Provenance (4 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0ac23a48190992fa125fceb1eb2 |
completed | April 18, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:31 a.m.