Triple

T36937373
Position Surface form Disambiguated ID Type / Status
Subject Kino der Toten E913654 entity
Predicate hasPowerSwitch P195235 FINISHED
Object true 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: true | Statement: [Kino der Toten, hasPowerSwitch, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPowerSwitch
Context triple: [Kino der Toten, hasPowerSwitch, true]
  • A. powerSwitchType
    Indicates the specific kind or configuration of power switch associated with or used by an entity.
  • B. hasPowerButton chosen
    Indicates that an entity is equipped with a power button that can be used to turn it on or off.
  • C. hasPowerTerminal
    Indicates that an entity is equipped with or connected to a power terminal through which electrical power can be supplied or distributed.
  • D. hasPowerSource
    Indicates that an entity derives its operational energy or functionality from a specified power source.
  • E. hasPowerRegulator
    Indicates that an entity is equipped with or connected to a power regulator component that controls or stabilizes its electrical power.
  • 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_69f76e8a6a5c81909c1febf32bf3fe23 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ffaa7bc45c8190b907db8579244a7b completed May 9, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69ffa9f6c9a481908fbd4d18b311cbe2 completed May 9, 2026, 9:41 p.m.
Created at: May 3, 2026, 4:13 p.m.