Triple
T18117140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Priory School, Hitchin |
E433633
|
entity |
| Predicate | isNonSelective |
P130510
|
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 Priory School, Hitchin, isNonSelective, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonSelective Context triple: [The Priory School, Hitchin, isNonSelective, true]
-
A.
isSelective
Indicates that the relationship or action involves choosing or affecting only certain specific entities or options while excluding others based on particular criteria.
-
B.
isSelectiveFire
Indicates that a firearm is capable of operating in multiple firing modes (such as semi-automatic and fully automatic) selectable by the user.
-
C.
isNonUniform
Indicates that the property, distribution, or structure of something varies across its domain rather than remaining constant or uniform.
-
D.
notSelectedIn
Indicates that an entity was considered but ultimately not chosen or included within a particular set, group, or selection process.
-
E.
hasApproximateSelectivityLevel
Indicates that one entity is associated with another entity representing an estimated or non-exact degree of selectivity.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd67a2481909d27a4a49b095f8c |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:28 a.m.