Triple
T27902698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Accra Metropolitan Assembly |
E705678
|
entity |
| Predicate | hasNumberOfElectoralAreas |
P13200
|
FINISHED |
| Object | multiple electoral areas |
—
|
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: multiple electoral areas | Statement: [Accra Metropolitan Assembly, hasNumberOfElectoralAreas, multiple electoral areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfElectoralAreas Context triple: [Accra Metropolitan Assembly, hasNumberOfElectoralAreas, multiple electoral areas]
-
A.
hasElectoralDistricts
Indicates that a political or administrative unit is divided into one or more electoral districts used for representation or voting.
-
B.
hasNumberOfConstituencies
chosen
Indicates the specific count of constituencies associated with an entity.
-
C.
hasElectoralUnit
Indicates that a political or administrative entity is associated with a specific electoral unit used for voting or representation.
-
D.
hasParallelElectorates
Indicates that two electoral systems or jurisdictions share corresponding or equivalent electorates that function in parallel.
-
E.
numberOfElectorates
Indicates the total count of electoral districts or constituencies associated with a given entity.
- 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_69ef96b490ac8190a412d04c5d009f3e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: April 27, 2026, 6:43 p.m.