Triple

T17996765
Position Surface form Disambiguated ID Type / Status
Subject 2006 Czech legislative election E430520 entity
Predicate causeOfDeadlock P694 FINISHED
Object even balance of seats between left and right 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: even balance of seats between left and right | Statement: [2006 Czech legislative election, causeOfDeadlock, even balance of seats between left and right]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfDeadlock
Context triple: [2006 Czech legislative election, causeOfDeadlock, even balance of seats between left and right]
  • A. causeOf chosen
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • B. causeStatus
    Indicates that one entity brings about, initiates, or is responsible for a particular state or condition in another entity.
  • C. causeSupported
    Indicates that an entity provides backing, endorsement, or assistance to a particular cause or initiative.
  • D. failureCause
    Indicates that one event, condition, or factor is the reason or source that caused a particular failure to occur.
  • E. causeOfDeath
    Indicates the specific factor, event, or condition that directly resulted in an entity’s death.
  • 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_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.
Created at: April 10, 2026, 10:23 a.m.