Triple

T4896744
Position Surface form Disambiguated ID Type / Status
Subject Polybus E109700 entity
Predicate deathCauseInTradition P44824 FINISHED
Object natural causes 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: natural causes | Statement: [Polybus, deathCauseInTradition, natural causes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: deathCauseInTradition
Context triple: [Polybus, deathCauseInTradition, natural causes]
  • A. traditionalMannerOfDeath
    Indicates that an entity died in a way that follows or reflects a culturally recognized or customary method of death.
  • B. reasonForDeath chosen
    Indicates the cause, circumstance, or condition that led to an entity’s death.
  • C. causeOfDeath
    Indicates the specific factor, event, or condition that directly resulted in an entity’s death.
  • D. deifiedPersonDeathCause
    Indicates the cause or manner of death of the person who is venerated or treated as a deity.
  • E. traditionallyDiedIn
    Indicates that, according to tradition or customary accounts (rather than strictly verified historical evidence), one entity is said to have died in the location or context of another entity.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd706245e48190a61d573438461c30 completed March 20, 2026, 4:05 p.m.
PD Predicate disambiguation batch_69bd6c306b188190a08a7856beb76db4 completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:28 p.m.