Triple

T12956393
Position Surface form Disambiguated ID Type / Status
Subject Sodankylä E310021 entity
Predicate hasVillage P4011 FINISHED
Object Tanhua
Tanhua is a small village in the municipality of Sodankylä in Finnish Lapland, known for its remote northern location and surrounding wilderness.
 E1014326 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: Tanhua | Statement: [Sodankylä, hasVillage, Tanhua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tanhua
Context triple: [Sodankylä, hasVillage, Tanhua]
  • A. Tinée
    Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
  • B. Xuwen
    Xuwen is a coastal county in Guangdong Province, China, known as a key mainland gateway and port facing Hainan Island across the Qiongzhou Strait.
  • C. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • D. Hezhenyu
    Hezhenyu is the native Tungusic language spoken by the Hezhen (Nanai) people of northeastern China.
  • E. Yinzhi
    Yinzhi was a Qing dynasty imperial prince, known as one of the sons of the Kangxi Emperor of China.
  • 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: Tanhua
Triple: [Sodankylä, hasVillage, Tanhua]
Generated description
Tanhua is a small village in the municipality of Sodankylä in Finnish Lapland, known for its remote northern location and surrounding wilderness.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tanhua
Target entity description: Tanhua is a small village in the municipality of Sodankylä in Finnish Lapland, known for its remote northern location and surrounding wilderness.
  • A. Tinée
    Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
  • B. Xuwen
    Xuwen is a coastal county in Guangdong Province, China, known as a key mainland gateway and port facing Hainan Island across the Qiongzhou Strait.
  • C. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • D. Hezhenyu
    Hezhenyu is the native Tungusic language spoken by the Hezhen (Nanai) people of northeastern China.
  • E. Yinzhi
    Yinzhi was a Qing dynasty imperial prince, known as one of the sons of the Kangxi Emperor of China.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2c5bf481908ca6adcfd3354f71 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8dc135c819091b7708d90db25cb completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9dac2c88190850304023f156969 completed May 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb304f7c8190a02aa2c5f71cea89 completed May 3, 2026, 3:04 a.m.
Created at: April 9, 2026, 5:44 p.m.