Triple

T2051507
Position Surface form Disambiguated ID Type / Status
Subject P. E. Svinhufvud E45578 entity
Predicate givenName P17 FINISHED
Object Evind
Evind is the given name of P. E. Svinhufvud, a prominent Finnish statesman and third President of Finland.
 E229065 NE FINISHED

How this triple was built (4 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: Evind | Statement: [P. E. Svinhufvud, givenName, Evind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Evind
Context triple: [P. E. Svinhufvud, givenName, Evind]
  • A. Egvekinot
    Egvekinot is a remote urban-type settlement and port on the coast of the Bering Sea in Russia’s Far East, serving as an important local center in the Chukotka region.
  • B. Isen
    Isen is a small town located on Tokunoshima in Japan’s Amami Islands, known for its subtropical climate and coastal scenery.
  • C. Etten
    Etten is a village in the Netherlands known as one of the early places where Vincent van Gogh lived and worked.
  • D. Heden
    Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
  • E. Veckring
    Veckring is a small commune in northeastern France, notable for its proximity to the major Maginot Line fortification of Hackenberg.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Evind
Triple: [P. E. Svinhufvud, givenName, Evind]
Generated description
Evind is the given name of P. E. Svinhufvud, a prominent Finnish statesman and third President of Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Evind
Target entity description: Evind is the given name of P. E. Svinhufvud, a prominent Finnish statesman and third President of Finland.
  • A. Egvekinot
    Egvekinot is a remote urban-type settlement and port on the coast of the Bering Sea in Russia’s Far East, serving as an important local center in the Chukotka region.
  • B. Isen
    Isen is a small town located on Tokunoshima in Japan’s Amami Islands, known for its subtropical climate and coastal scenery.
  • C. Etten
    Etten is a village in the Netherlands known as one of the early places where Vincent van Gogh lived and worked.
  • D. Heden
    Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
  • E. Veckring
    Veckring is a small commune in northeastern France, notable for its proximity to the major Maginot Line fortification of Hackenberg.
  • F. None of above. chosen

Provenance (5 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb98f5f4881908d9aa0f10be44041 completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2009951881909d562821fef39c88 completed March 9, 2026, 1:19 a.m.
NEDg Description generation batch_69ae20fbcd30819099499853d7dc2cc4 completed March 9, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_69ae216d450c8190ad2ecfdafa2354c7 completed March 9, 2026, 1:25 a.m.
Created at: March 4, 2026, 7:39 p.m.