Triple
T6169925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama's 4th congressional district |
E137666
|
entity |
| Predicate | electsRepresentativeEvery |
P69191
|
FINISHED |
| Object | 2 years |
—
|
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: 2 years | Statement: [Alabama's 4th congressional district, electsRepresentativeEvery, 2 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electsRepresentativeEvery Context triple: [Alabama's 4th congressional district, electsRepresentativeEvery, 2 years]
-
A.
electsAt
Indicates that an election or selection of someone or something to a position, role, or office occurs at a specific time or in a specific context.
-
B.
elects
Indicates that one entity selects or chooses another entity for a position, role, or office, typically through a formal voting process.
-
C.
electRepresentativesTo
Indicates the action by which a group or body chooses individuals to serve as its official representatives in another governing or decision-making body.
-
D.
seatOfElector
Indicates the location or jurisdiction that serves as the official base or constituency of a given elector.
-
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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d8f97708190bebbc49c4a56c8a5 |
completed | March 22, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056df95ac8190bc5efe050d3af864 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:18 p.m.