Triple
T10857340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacup and Rawtenstall Grammar School |
E256300
|
entity |
| Predicate | drawsIntakeFrom |
P42668
|
FINISHED |
| Object | Bacup area |
—
|
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: Bacup area | Statement: [Bacup and Rawtenstall Grammar School, drawsIntakeFrom, Bacup area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drawsIntakeFrom Context triple: [Bacup and Rawtenstall Grammar School, drawsIntakeFrom, Bacup area]
-
A.
intakeLocation
chosen
Indicates the place or facility where an entity is initially received, admitted, or taken in.
-
B.
intake
Indicates the act of taking something in or consuming it, such as food, drink, or other substances, into a system or organism.
-
C.
airIntakeType
Indicates the type or configuration of the system or mechanism used to draw air into an engine or device.
-
D.
drainsPartOf
Indicates that one entity carries off or removes liquid or fluid from a specific part or portion of another entity.
-
E.
drainsInto
Indicates that one entity serves as a source or conduit whose contents or flow are directed into another entity.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751377da88190a7244bb9d6b0c2ec |
completed | April 9, 2026, 7:11 a.m. |
| PD | Predicate disambiguation | batch_69d70d308dfc81908792f98cfb871392 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.