Triple

T10141159
Position Surface form Disambiguated ID Type / Status
Subject Vihti E231585 entity
Predicate hasVillage P4011 FINISHED
Object Tervalampi
Tervalampi is a small village in the municipality of Vihti in southern Finland, known for its rural landscape and lakeside surroundings.
E844336 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: Tervalampi | Statement: [Vihti, hasVillage, Tervalampi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tervalampi
Context triple: [Vihti, hasVillage, Tervalampi]
  • A. Tervate
    Tervate is a small locality in Belgium situated close to the historic Yser Front of World War I.
  • 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. Vatutine
    Vatutine is a small industrial city in central Ukraine, located within Cherkasy Oblast.
  • D. Luntai
    Luntai is a small oasis town and county in China’s Xinjiang region, situated along the northern edge of the Taklamakan Desert on the historic Silk Road.
  • E. Tainaste
    Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
  • 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: Tervalampi
Triple: [Vihti, hasVillage, Tervalampi]
Generated description
Tervalampi is a small village in the municipality of Vihti in southern Finland, known for its rural landscape and lakeside surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tervalampi
Target entity description: Tervalampi is a small village in the municipality of Vihti in southern Finland, known for its rural landscape and lakeside surroundings.
  • A. Tervate
    Tervate is a small locality in Belgium situated close to the historic Yser Front of World War I.
  • 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. Vatutine
    Vatutine is a small industrial city in central Ukraine, located within Cherkasy Oblast.
  • D. Luntai
    Luntai is a small oasis town and county in China’s Xinjiang region, situated along the northern edge of the Taklamakan Desert on the historic Silk Road.
  • E. Tainaste
    Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2425008190a92c5148ed703d5c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e603d4548190a561e735c603946f completed April 5, 2026, 10:45 p.m.
NEDg Description generation batch_69d2e7d9932c8190b1947df14f373f9c completed April 5, 2026, 10:53 p.m.
NED2 Entity disambiguation (via description) batch_69d2e8c425b88190b20f1706fe3343f4 completed April 5, 2026, 10:57 p.m.
Created at: March 30, 2026, 9:07 p.m.