Triple

T2212551
Position Surface form Disambiguated ID Type / Status
Subject Simo Häyhä E50949 entity
Predicate usedIronSights P36826 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, usedIronSights, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedIronSights
Context triple: [Simo Häyhä, usedIronSights, yes]
  • A. hasNightVision
    Indicates that an entity possesses the ability to see effectively in low-light or dark conditions.
  • B. usedWeapon
    Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
  • C. usesCanons
    Indicates that one entity employs or makes use of canons (such as rules, principles, or artillery pieces) in relation to another entity or context.
  • D. weaponsUsed
    Indicates that one entity employed or utilized another entity as a weapon in carrying out an action or event.
  • E. eyeRelief
    Indicates the distance between an eyepiece and the observer’s eye at which the full field of view can be comfortably seen.
  • 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_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.
PDg Predicate description generation batch_69abbf0c2b8881908553eed5be17a9c2 completed March 7, 2026, 6 a.m.
Created at: March 4, 2026, 7:46 p.m.