Triple
T29173104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FY postcode area |
E739523
|
entity |
| Predicate | hasMajorSortingOffice |
P103611
|
FINISHED |
| Object | Blackpool |
—
|
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: Blackpool | Statement: [FY postcode area, hasMajorSortingOffice, Blackpool]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorSortingOffice Context triple: [FY postcode area, hasMajorSortingOffice, Blackpool]
-
A.
mainSortingOffice
chosen
Indicates that one entity serves as the primary or central sorting office responsible for handling and routing items (typically mail or packages) for another entity or area.
-
B.
hasMajorEmployer
Indicates that an entity has a primary or most significant employer with which it is chiefly affiliated for work or occupation.
-
C.
hasMajor
Indicates that an entity (typically a person or student) has a specific primary field of academic study or specialization.
-
D.
hasMajorOrganization
Indicates that an entity is associated with or primarily represented by a major organization.
-
E.
hasSortingInfrastructure
Indicates that an entity possesses systems or facilities specifically designed for organizing, classifying, or arranging items according to defined criteria.
- 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_69f07cb6394c8190ab7842c48e699e2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69ff1e3e13c08190bb8990c44716b746 |
completed | May 9, 2026, 11:45 a.m. |
| PD | Predicate disambiguation | batch_69ff1dfcaf2c8190aaf2b428d57b7782 |
completed | May 9, 2026, 11:43 a.m. |
Created at: April 28, 2026, 11:53 a.m.