Triple
T25705563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battersea |
E644578
|
entity |
| Predicate | wasUrbanDistrict |
P158996
|
FINISHED |
| Object | Metropolitan Borough of Battersea |
—
|
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: Metropolitan Borough of Battersea | Statement: [Battersea, wasUrbanDistrict, Metropolitan Borough of Battersea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasUrbanDistrict Context triple: [Battersea, wasUrbanDistrict, Metropolitan Borough of Battersea]
-
A.
isUrbanDistrict
Indicates that a given district is classified as an urban administrative or residential area rather than a rural one.
-
B.
isUrbanNeighborhood
Indicates that a given area functions as a neighborhood located within an urban or city environment.
-
C.
wasUrbanStatus
Indicates that an entity previously held an urban classification or status during a specified time period.
-
D.
isOneOfUrbanDistrictsOf
Indicates that an entity is a member of the set of urban districts belonging to a specified larger administrative area or city.
-
E.
isUrbanConstituency
Indicates that a given constituency is classified as urban rather than rural or semi-urban.
- F. None of above. chosen
Provenance (4 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc1052508190bee01272205a9f70 |
completed | May 2, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f480824a1c81908a8a492eedbc2596 |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 9:03 p.m.