Triple

T2212556
Position Surface form Disambiguated ID Type / Status
Subject Simo Häyhä E50949 entity
Predicate survivedInjury P5939 FINISHED
Object yes 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: yes | Statement: [Simo Häyhä, survivedInjury, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: survivedInjury
Context triple: [Simo Häyhä, survivedInjury, yes]
  • A. survivesIn
    Indicates that an entity remains alive, functional, or intact within a specified environment, condition, or context.
  • B. survivedEvent chosen
    Indicates that an entity continued to live or exist after experiencing and not being destroyed or killed by a particular event.
  • C. survivingFrom
    Indicates that one entity continues to live, exist, or remain after another related entity has ended, disappeared, or ceased to exist.
  • D. survivesAs
    Indicates that one entity continues to exist or persist in place of, or after the end or transformation of, another entity.
  • E. wasWoundedIn
    Indicates that an entity sustained an injury as a result of a specified event, situation, or conflict.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfecea6c8190b762bbfda8490e31 completed March 7, 2026, 6:04 a.m.
PD Predicate disambiguation batch_69abbdaa26d48190860c33fd464c4845 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:46 p.m.