Triple
T36248063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W postcode area |
E891718
|
entity |
| Predicate | postalDistrictCount |
P1679
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [W postcode area, postalDistrictCount, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postalDistrictCount Context triple: [W postcode area, postalDistrictCount, 18]
-
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.
postcodeAreaCountApprox
Indicates an approximate count of postcode areas associated with an entity.
-
C.
hasPostcodeDistrictCode
Indicates that an entity is associated with a specific postcode district code within a postal addressing system.
-
D.
numberOfDistricts
chosen
Indicates the total count of districts associated with a given entity or area.
-
E.
postalDivision
Indicates the administrative or geographic subdivision used for organizing postal services and mail delivery within a larger region.
- 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_69f76e4599108190811532e707d6bc2c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b5d4545881908e3b2865004444a1 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.