Triple

T21377261
Position Surface form Disambiguated ID Type / Status
Subject Johann Voldemar Jannsen E527243 entity
Predicate placeOfBirth P1 FINISHED
Object Vändra
Vändra is a small town in southwestern Estonia known historically as the birthplace of several notable Estonian cultural figures.
E1480969 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: Vändra | Statement: [Johann Voldemar Jannsen, placeOfBirth, Vändra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vändra
Context triple: [Johann Voldemar Jannsen, placeOfBirth, Vändra]
  • A. Veckring
    Veckring is a small commune in northeastern France, notable for its proximity to the major Maginot Line fortification of Hackenberg.
  • B. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • C. Vandling
    Vandling is a small borough in northeastern Pennsylvania, United States.
  • D. Vráťa
    Vráťa is a common Czech diminutive form of the male given name Vratislav.
  • E. Varkaus
    Varkaus is a small industrial town and municipality in the Northern Savonia region of eastern Finland, known for its paper and wood-processing industries.
  • 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: Vändra
Triple: [Johann Voldemar Jannsen, placeOfBirth, Vändra]
Generated description
Vändra is a small town in southwestern Estonia known historically as the birthplace of several notable Estonian cultural figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vändra
Target entity description: Vändra is a small town in southwestern Estonia known historically as the birthplace of several notable Estonian cultural figures.
  • A. Veckring
    Veckring is a small commune in northeastern France, notable for its proximity to the major Maginot Line fortification of Hackenberg.
  • B. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • C. Vandling
    Vandling is a small borough in northeastern Pennsylvania, United States.
  • D. Vráťa
    Vráťa is a common Czech diminutive form of the male given name Vratislav.
  • E. Varkaus
    Varkaus is a small industrial town and municipality in the Northern Savonia region of eastern Finland, known for its paper and wood-processing industries.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0c8768c8190ad7cddf5cd1d06f7 completed April 22, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09b42274f0819092541d278a3a900c completed May 17, 2026, 12:27 p.m.
NEDg Description generation batch_6a09b494bc348190b72a5e862b74711a completed May 17, 2026, 12:29 p.m.
NED2 Entity disambiguation (via description) batch_6a09b60be86c8190ba4e0890da8dadb1 completed May 17, 2026, 12:35 p.m.
Created at: April 16, 2026, 5:11 p.m.