Triple

T17996757
Position Surface form Disambiguated ID Type / Status
Subject 2006 Czech legislative election E430520 entity
Predicate seatDistributionCharacteristic P130062 FINISHED
Object 100–100 split between left and right blocs 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: 100–100 split between left and right blocs | Statement: [2006 Czech legislative election, seatDistributionCharacteristic, 100–100 split between left and right blocs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seatDistributionCharacteristic
Context triple: [2006 Czech legislative election, seatDistributionCharacteristic, 100–100 split between left and right blocs]
  • A. individualSeats
    Indicates that an entity provides or consists of separate, single-person seating positions rather than shared or bench-style seating.
  • B. seatCategory
    Indicates the classification or type of a seat (e.g., by comfort level, price tier, or section) assigned to an entity.
  • C. seatIs
    Indicates that one entity functions as the seat or seating position of another entity.
  • D. seatAllocationLevel
    Indicates the degree or priority level at which seats are assigned or distributed among eligible entities.
  • E. hasSeating
    Indicates that one entity provides or contains seating capacity or seating arrangements for another entity.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b3e4ae948190903ed255b0fe1dca completed April 19, 2026, 10:52 a.m.
PD Predicate disambiguation batch_69e3f90039e4819080527f860dca042e completed April 18, 2026, 9:34 p.m.
PDg Predicate description generation batch_69e42d8d68288190a05dc5d7803cf823 completed April 19, 2026, 1:19 a.m.
Created at: April 10, 2026, 10:23 a.m.