Triple
T32457467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longridge High School |
E829466
|
entity |
| Predicate | hasLocalIntakeArea |
P147797
|
FINISHED |
| Object | Longridge and surrounding villages |
—
|
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: Longridge and surrounding villages | Statement: [Longridge High School, hasLocalIntakeArea, Longridge and surrounding villages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalIntakeArea Context triple: [Longridge High School, hasLocalIntakeArea, Longridge and surrounding villages]
-
A.
hasLocalIntakePolicy
Indicates that an entity has an intake policy that is defined, applied, or valid only within a specific local jurisdiction or context.
-
B.
intakeLocation
Indicates the place or facility where an entity is initially received, admitted, or taken in.
-
C.
hasFeederArea
chosen
Indicates that one entity serves as the source or contributing area that supplies resources, inputs, or influence to another entity.
-
D.
airIntakeType
Indicates the type or configuration of the system or mechanism used to draw air into an engine or device.
-
E.
airIntakeLocation
Indicates the physical position or area where air is drawn into a system, device, or structure.
- 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
Created at: May 1, 2026, 12:56 a.m.