Triple
T3052216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the House |
E60395
|
entity |
| Predicate | electoratesCalled |
P45368
|
FINISHED |
| Object | divisions |
—
|
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: divisions | Statement: [the House, electoratesCalled, divisions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electoratesCalled Context triple: [the House, electoratesCalled, divisions]
-
A.
electorateIncludes
Indicates that a particular electorate or voting body contains or encompasses the specified member or group as part of those entitled to participate.
-
B.
hasElectorate
Indicates that a political representative, office, or governing body is associated with and serves a specific group of voters or electoral district.
-
C.
electorate
Indicates that an entity functions as the body of people entitled to vote in relation to a particular political unit, office, or decision.
-
D.
electorateState
Indicates the state or region in which a given electorate (voting district or constituency) is located or to which it belongs.
-
E.
numberOfElectors
Indicates the total count of electors associated with a given entity or context.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf274f88190a759f9ce3da47c35 |
completed | March 8, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69ad962195388190856013a2519c2b0f |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad9b272a408190ba0ce09bdeea76c9 |
completed | March 8, 2026, 3:52 p.m. |
Created at: March 8, 2026, 3:01 p.m.