Triple

T178116
Position Surface form Disambiguated ID Type / Status
Subject Duke of Albany E3619 entity
Predicate extinctionReason P6998 FINISHED
Object World War I anti-German sentiment in the United Kingdom 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: World War I anti-German sentiment in the United Kingdom | Statement: [Duke of Albany, extinctionReason, World War I anti-German sentiment in the United Kingdom]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: extinctionReason
Context triple: [Duke of Albany, extinctionReason, World War I anti-German sentiment in the United Kingdom]
  • A. conservationStatus
    Indicates the level of risk or protection category assigned to an entity, typically reflecting how threatened it is with extinction or decline.
  • B. hasEndemicSpecies
    Indicates that a place or region contains species that are native to and found only within that specific geographic area.
  • C. threatenedBy
    Indicates that one entity poses a danger or potential harm to another entity.
  • D. biodiversityStatus
    Indicates the current condition or level of biological diversity associated with an entity, often in terms of richness, health, or conservation concern.
  • E. causeOfDeath
    Indicates the specific factor, event, or condition that directly resulted in an entity’s death.
  • 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_69a25374990081909766d30c79a18e0e completed Feb. 28, 2026, 2:31 a.m.
NER Named-entity recognition batch_69a258fe7bb08190a56f4a54cadd2fef completed Feb. 28, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69a2566b53d481909c0ed40dd3719e8c completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a2582b7f648190b0ef676b8bdc1c65 completed Feb. 28, 2026, 2:51 a.m.
Created at: Feb. 28, 2026, 2:39 a.m.