Triple

T9167977
Position Surface form Disambiguated ID Type / Status
Subject Kanta-Häme E220011 entity
Predicate contains P35 FINISHED
Object Hattula
Hattula is a municipality in southern Finland known for its medieval stone church and lakeside landscapes.
E782386 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: Hattula | Statement: [Kanta-Häme, contains, Hattula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hattula
Context triple: [Kanta-Häme, contains, Hattula]
  • A. Zunheboto
    Zunheboto is a town in the northeastern Indian state of Nagaland, known as the headquarters of the Sumi Naga community and for its hilly terrain and rich tribal culture.
  • B. Ahnighito
    Ahnighito is the distinctive middle name of Marie Ahnighito Peary, the daughter of Arctic explorer Robert E. Peary and namesake of a famous meteorite he brought back from Greenland.
  • C. Wauchope
    Wauchope is a rural town in New South Wales, Australia, known as a gateway to the hinterland near Port Macquarie and the surrounding Mid North Coast region.
  • D. Rindal
    Rindal is a small rural municipality and village area in western Norway known for its scenic landscapes and traditional Norwegian countryside character.
  • E. Gosiute
    Gosiute is a dialect of the Shoshoni language traditionally spoken by the Goshute people of the Great Basin region in the western United States.
  • 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: Hattula
Triple: [Kanta-Häme, contains, Hattula]
Generated description
Hattula is a municipality in southern Finland known for its medieval stone church and lakeside landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hattula
Target entity description: Hattula is a municipality in southern Finland known for its medieval stone church and lakeside landscapes.
  • A. Zunheboto
    Zunheboto is a town in the northeastern Indian state of Nagaland, known as the headquarters of the Sumi Naga community and for its hilly terrain and rich tribal culture.
  • B. Ahnighito
    Ahnighito is the distinctive middle name of Marie Ahnighito Peary, the daughter of Arctic explorer Robert E. Peary and namesake of a famous meteorite he brought back from Greenland.
  • C. Wauchope
    Wauchope is a rural town in New South Wales, Australia, known as a gateway to the hinterland near Port Macquarie and the surrounding Mid North Coast region.
  • D. Rindal
    Rindal is a small rural municipality and village area in western Norway known for its scenic landscapes and traditional Norwegian countryside character.
  • E. Gosiute
    Gosiute is a dialect of the Shoshoni language traditionally spoken by the Goshute people of the Great Basin region in the western United States.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaadfb50881909b9127f92e4b3e21 completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05491ccec819093fcf2d764c5381b completed April 4, 2026, midnight
NEDg Description generation batch_69d05628d8708190a85437c5051a5a05 completed April 4, 2026, 12:07 a.m.
NED2 Entity disambiguation (via description) batch_69d056e4ad98819086e73edf15aa6210 completed April 4, 2026, 12:10 a.m.
Created at: March 30, 2026, 7:22 p.m.