Triple

T35709425
Position Surface form Disambiguated ID Type / Status
Subject Un bon bock E1031810 entity
Predicate hasSurvivingElements P89335 FINISHED
Object still images and written descriptions only 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: still images and written descriptions only | Statement: [Un bon bock, hasSurvivingElements, still images and written descriptions only]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSurvivingElements
Context triple: [Un bon bock, hasSurvivingElements, still images and written descriptions only]
  • A. hasSurvivingElement chosen
    Indicates that an entity retains at least one remaining or extant part, instance, or component that still exists.
  • B. hasSurvivalElements
    Indicates that something includes features or conditions related to survival, such as resource management, threat avoidance, or sustaining life over time.
  • C. hasSurvivors
    Indicates that one or more entities continue to exist or remain alive after a particular event, condition, or incident.
  • D. hasSurvivingText
    Indicates that there exists at least one extant or preserved textual record associated with the subject.
  • E. hasLivingComponents
    Indicates that an entity includes or is composed of one or more living or biological components.
  • 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_69f76e0df1d08190965b1c6dff94c391 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fff09dae088190bd8460060d778feb completed May 10, 2026, 2:42 a.m.
PD Predicate disambiguation batch_69fff0027c5c8190baa5c7a15852cbe0 completed May 10, 2026, 2:40 a.m.
Created at: May 3, 2026, 4:05 p.m.