Triple
T23875391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christchurch Central |
E592849
|
entity |
| Predicate | hasElectorateClassification |
P15379
|
FINISHED |
| Object | urban |
—
|
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: urban | Statement: [Christchurch Central, hasElectorateClassification, urban]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectorateClassification Context triple: [Christchurch Central, hasElectorateClassification, urban]
-
A.
hasElectorate
Indicates that a political representative, office, or governing body is associated with and serves a specific group of voters or electoral district.
-
B.
hasParliamentaryElectorate
Indicates that a political or administrative entity is represented by, or belongs to, a specific parliamentary electoral district.
-
C.
hasElectorateCode
Indicates that an electorate (voting district) is associated with a specific identifying code.
-
D.
electorateCategory
chosen
Indicates the classification of an electorate or voter group into a specific category based on defined electoral or demographic criteria.
-
E.
hasElectorateProfile
Indicates that an entity is associated with a specific electorate-related profile describing its voting or demographic characteristics.
- 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cc012974819090b34aad6a230f81 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:15 p.m.