Triple
T25179449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Howard School |
E630542
|
entity |
| Predicate | hasMixedSixthForm |
P12422
|
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: [The Howard School, hasMixedSixthForm, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMixedSixthForm Context triple: [The Howard School, hasMixedSixthForm, true]
-
A.
hasSixthForm
chosen
Indicates that an entity possesses or is associated with a sixth form level of education or program.
-
B.
hasMorphologicalMix
Indicates that an entity exhibits a combination of different morphological types or structures within a single form or system.
-
C.
hasSixthTerm
Indicates that a sequence, series, or ordered collection possesses a defined sixth term or element.
-
D.
hasIceOrMixedGrade
Indicates that a road segment or surface currently has icy conditions or a mixture of ice and other surface states (e.g., wet, slushy, or bare).
-
E.
mixedAt
Indicates that one entity has been combined or blended together with another entity (or entities), typically to form a mixture at a specific time or place.
- 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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 21, 2026, 12:35 p.m.