Triple

T33797563
Position Surface form Disambiguated ID Type / Status
Subject Max Sandlin E866117 entity
Predicate causeOfLossOfSeat P164900 FINISHED
Object 2003 Texas mid-decade redistricting 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: 2003 Texas mid-decade redistricting | Statement: [Max Sandlin, causeOfLossOfSeat, 2003 Texas mid-decade redistricting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfLossOfSeat
Context triple: [Max Sandlin, causeOfLossOfSeat, 2003 Texas mid-decade redistricting]
  • A. sawSeatLossFor
    Indicates that one entity observed or experienced a reduction in the number of seats (e.g., political, physical, or allocated) associated with another entity.
  • B. lostSeatIn
    Indicates that an entity no longer holds or occupies a previously held seat or position within a specified body, group, or institution.
  • C. lostSeatInApportionment chosen
    Indicates that an entity (such as a state or region) lost a previously held representative seat due to a reapportionment process.
  • D. failedToWinSeats
    Indicates that an entity participated in an election or contest for seats but did not succeed in obtaining any of them.
  • E. lostMostSeatsIn
    Indicates that an entity experienced the greatest net loss of seats (such as legislative or representative positions) in a specified election or governing body compared to other entities.
  • 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_69f3498f99f481909cb271f4965a7594 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fcec5f8b448190b48330a19b462d24 completed May 7, 2026, 7:47 p.m.
PD Predicate disambiguation batch_69fceaf1e23881908ca24160a638e329 completed May 7, 2026, 7:41 p.m.
Created at: May 1, 2026, 1:46 a.m.