Triple
T12572812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 United States House of Representatives elections |
E295645
|
entity |
| Predicate | nonVotingDelegatesElected |
P4389
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [2012 United States House of Representatives elections, nonVotingDelegatesElected, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonVotingDelegatesElected Context triple: [2012 United States House of Representatives elections, nonVotingDelegatesElected, 6]
-
A.
nonVotingDelegatesCount
chosen
Indicates the number of delegates associated with an entity who do not possess voting rights in a given decision-making process.
-
B.
numberOfDelegates
Indicates the quantity of delegates associated with or assigned to a particular entity or event.
-
C.
electsDelegatesTo
Indicates that one entity selects or votes to choose representatives (delegates) who will act or decide on its behalf in another body or process.
-
D.
nonVoting
Indicates that an entity participates in a group or organization without possessing the right to vote in its decisions.
-
E.
numberOfDelegations
Indicates the total count of delegation instances associated with a given entity or context.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:50 p.m.