Triple
T10829692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W1 postcode district |
E255584
|
entity |
| Predicate | postalDistrictCode |
P75298
|
FINISHED |
| Object | W1 |
—
|
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: W1 | Statement: [W1 postcode district, postalDistrictCode, W1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postalDistrictCode Context triple: [W1 postcode district, postalDistrictCode, W1]
-
A.
postalArea
Indicates that one entity is the postal or ZIP code area associated with the location or address represented by the other entity.
-
B.
postalCode
Indicates the numerical or alphanumerical code assigned to a geographic area for mail delivery associated with an entity.
-
C.
hasPostcodeDistrictCode
chosen
Indicates that an entity is associated with a specific postcode district code within a postal addressing system.
-
D.
postalCodeSystem
Indicates a system that assigns structured postal codes to geographic areas for organizing and routing mail.
-
E.
postalCounty
Indicates the county associated with an entity for postal addressing or mail delivery purposes.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d74420fa188190b5b3c59e1a9f551d |
completed | April 9, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.