Triple
T30430668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whalley Range High School |
E774153
|
entity |
| Predicate | hasSixthFormBrand |
P184884
|
FINISHED |
| Object | Whalley Range 16–18 Sixth Form |
—
|
NE NERFINISHED |
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: Whalley Range 16–18 Sixth Form | Statement: [Whalley Range High School, hasSixthFormBrand, Whalley Range 16–18 Sixth Form]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSixthFormBrand Context triple: [Whalley Range High School, hasSixthFormBrand, Whalley Range 16–18 Sixth Form]
-
A.
hasBrandForm
chosen
Indicates that one entity is a specific branded form or commercial variant of another entity.
-
B.
hasBrandName
Indicates that an entity is associated with or identified by a specific brand name.
-
C.
hasBrandType
Indicates that an entity is associated with or categorized under a particular brand type or classification.
-
D.
isPremiumBrand
Indicates that a brand is classified as high-end or luxury, typically associated with superior quality, exclusivity, and higher price positioning compared to standard brands.
-
E.
laterBrandOf
Indicates that one brand is a subsequent or successor brand to another, coming into use at a later time.
- 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_69f22492d2a88190995ce8745d9becaa |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: April 29, 2026, 8:06 p.m.