Triple

T1837552
Position Surface form Disambiguated ID Type / Status
Subject Arvo Ylppö E41099 entity
Predicate givenName P17 FINISHED
Object Arvo
Arvo is a given name most notably borne by Finnish pediatrician and child welfare pioneer Arvo Ylppö.
E205327 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: Arvo | Statement: [Arvo Ylppö, givenName, Arvo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arvo
Context triple: [Arvo Ylppö, givenName, Arvo]
  • A. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • B. Avgad
    Avgad is a variant form or textual tradition associated with the Jewish mystical work Temurah.
  • C. Valvins
    Valvins is a small village in northern France best known as the place where the symbolist poet Stéphane Mallarmé spent his final years and died.
  • D. Isen
    Isen is a small town located on Tokunoshima in Japan’s Amami Islands, known for its subtropical climate and coastal scenery.
  • E. Arki
    Arki is a small, sparsely populated Greek island in the Aegean Sea, known for its quiet beaches and traditional fishing community.
  • 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: Arvo
Triple: [Arvo Ylppö, givenName, Arvo]
Generated description
Arvo is a given name most notably borne by Finnish pediatrician and child welfare pioneer Arvo Ylppö.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arvo
Target entity description: Arvo is a given name most notably borne by Finnish pediatrician and child welfare pioneer Arvo Ylppö.
  • A. Vallentuna
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • B. Avgad
    Avgad is a variant form or textual tradition associated with the Jewish mystical work Temurah.
  • C. Valvins
    Valvins is a small village in northern France best known as the place where the symbolist poet Stéphane Mallarmé spent his final years and died.
  • D. Isen
    Isen is a small town located on Tokunoshima in Japan’s Amami Islands, known for its subtropical climate and coastal scenery.
  • E. Arki
    Arki is a small, sparsely populated Greek island in the Aegean Sea, known for its quiet beaches and traditional fishing community.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0380a4c81909a2ad0bfd97c884a completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b6dc9481908a83e60aee326bc4 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcaef04e88190a88f789a6370bafb completed March 8, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69adcb8e053c819082a3d4b36afe35be completed March 8, 2026, 7:18 p.m.
Created at: March 4, 2026, 7:33 p.m.