Triple

T13090200
Position Surface form Disambiguated ID Type / Status
Subject Northern Savonia E310441 entity
Predicate containsMunicipality P852 FINISHED
Object Tervo
Tervo is a small rural municipality in eastern Finland known for its lakes, forests, and outdoor recreational opportunities.
 E1021299 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: Tervo | Statement: [Northern Savonia, containsMunicipality, Tervo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tervo
Context triple: [Northern Savonia, containsMunicipality, Tervo]
  • A. Lapua
    Lapua is a small town in western Finland known for its historical significance, including a former state cartridge factory and its role in the Lapua Movement.
  • B. Terjola
    Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
  • C. Vasto
    Vasto is a historic coastal town in Italy’s Abruzzo region, known for its medieval center and views over the Adriatic Sea.
  • D. Tammela
    Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
  • E. Ritva
    Ritva, also known as Rabbi Yom Tov ben Avraham Ishbili, was a prominent 13th–14th century Spanish Talmudic commentator and halakhic authority whose works are central in traditional Jewish scholarship.
  • 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: Tervo
Triple: [Northern Savonia, containsMunicipality, Tervo]
Generated description
Tervo is a small rural municipality in eastern Finland known for its lakes, forests, and outdoor recreational opportunities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tervo
Target entity description: Tervo is a small rural municipality in eastern Finland known for its lakes, forests, and outdoor recreational opportunities.
  • A. Lapua
    Lapua is a small town in western Finland known for its historical significance, including a former state cartridge factory and its role in the Lapua Movement.
  • B. Terjola
    Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
  • C. Vasto
    Vasto is a historic coastal town in Italy’s Abruzzo region, known for its medieval center and views over the Adriatic Sea.
  • D. Tammela
    Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
  • E. Ritva
    Ritva, also known as Rabbi Yom Tov ben Avraham Ishbili, was a prominent 13th–14th century Spanish Talmudic commentator and halakhic authority whose works are central in traditional Jewish scholarship.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98138a1d481908a139f2f67eb3472 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d614704481908758cf8691a941ea completed May 3, 2026, 4:59 a.m.
NEDg Description generation batch_69f6db8b74e08190919245104ac7ebd9 completed May 3, 2026, 5:22 a.m.
NED2 Entity disambiguation (via description) batch_69f6dc4db1e0819082f1b7e196e7f0c0 completed May 3, 2026, 5:25 a.m.
Created at: April 9, 2026, 9:03 p.m.