Triple
T3752502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississippi House of Representatives |
E81363
|
entity |
| Predicate | seatsAreAllocatedTo |
P51117
|
FINISHED |
| Object | single-member districts |
—
|
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: single-member districts | Statement: [Mississippi House of Representatives, seatsAreAllocatedTo, single-member districts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatsAreAllocatedTo Context triple: [Mississippi House of Representatives, seatsAreAllocatedTo, single-member districts]
-
A.
seatsAllocatedBy
Indicates that seats are assigned or distributed by a particular agent, authority, or mechanism.
-
B.
remainingSeatsAllocation
Indicates how any seats that are still unassigned after an initial distribution are allocated among eligible parties or entities.
-
C.
hasReservedSeats
Indicates that specific seats have been set aside or allocated in advance for a particular entity or purpose.
-
D.
seatsForParty
Indicates that a seating arrangement or capacity is designated to accommodate a specific party or group.
-
E.
seatsForScheduledCastes
Indicates that a certain number or portion of seats are reserved specifically for individuals belonging to Scheduled Castes.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb92135c819093f6d616d3ad28ff |
completed | March 8, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69adc04adebc819088d7f36d0ac343a6 |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc1560c248190b07438d766880990 |
completed | March 8, 2026, 6:35 p.m. |
Created at: March 8, 2026, 3:35 p.m.