Triple

T2691968
Position Surface form Disambiguated ID Type / Status
Subject Satakunta Air Command E58422 entity
Predicate nativeName P15 FINISHED
Object Satakunnan lennosto
Satakunnan lennosto is a Finnish Air Force unit responsible for air defense and training operations in the Satakunta region of Finland.
 E290239 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: Satakunnan lennosto | Statement: [Satakunta Air Command, nativeName, Satakunnan lennosto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Satakunnan lennosto
Context triple: [Satakunta Air Command, nativeName, Satakunnan lennosto]
  • A. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • B. Kyösti
    Kyösti is a Finnish masculine given name, notably borne by Kyösti Kallio, the fourth President of Finland.
  • C. Pöytyä
    Pöytyä is a rural municipality in southwestern Finland known for its forests, agriculture, and small village communities.
  • D. Jatki
    Jatki is a regional dialect of the Saraiki language spoken primarily in parts of Pakistan.
  • E. Häyhä
    Häyhä is the surname of Simo Häyhä, the legendary Finnish sniper renowned for his extraordinary marksmanship during the Winter War.
  • 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: Satakunnan lennosto
Triple: [Satakunta Air Command, nativeName, Satakunnan lennosto]
Generated description
Satakunnan lennosto is a Finnish Air Force unit responsible for air defense and training operations in the Satakunta region of Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Satakunnan lennosto
Target entity description: Satakunnan lennosto is a Finnish Air Force unit responsible for air defense and training operations in the Satakunta region of Finland.
  • A. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • B. Kyösti
    Kyösti is a Finnish masculine given name, notably borne by Kyösti Kallio, the fourth President of Finland.
  • C. Pöytyä
    Pöytyä is a rural municipality in southwestern Finland known for its forests, agriculture, and small village communities.
  • D. Jatki
    Jatki is a regional dialect of the Saraiki language spoken primarily in parts of Pakistan.
  • E. Häyhä
    Häyhä is the surname of Simo Häyhä, the legendary Finnish sniper renowned for his extraordinary marksmanship during the Winter War.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda0dd97c81909a60cf200f57c087 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf61b83c8190ab254d927cb908f2 completed March 10, 2026, 5:42 a.m.
NEDg Description generation batch_69afb002b86881909401e1bec24b76bf completed March 10, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69afb0e906f88190b182cbfe81122eed completed March 10, 2026, 5:49 a.m.
Created at: March 6, 2026, 9:54 p.m.