Triple

T7792966
Position Surface form Disambiguated ID Type / Status
Subject Pärnu E180225 entity
Predicate locatedIn P40 FINISHED
Object Pärnu County
Pärnu County is an administrative region in southwestern Estonia known for its coastal landscapes and the resort city of Pärnu.
E693922 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: Pärnu County | Statement: [Pärnu, locatedIn, Pärnu County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pärnu County
Context triple: [Pärnu, locatedIn, Pärnu County]
  • A. Tartu County
    Tartu County is an administrative region in eastern Estonia centered around the university city of Tartu and known for its cultural, educational, and economic significance.
  • B. Võru County
    Võru County is a rural region in southeastern Estonia known for its distinct South Estonian (Võro) linguistic and cultural heritage.
  • C. Lääne-Viru County
    Lääne-Viru County is a northeastern administrative region of Estonia known for its coastal landscapes, historic manors, and the town of Rakvere.
  • D. Järva County
    Järva County is a historical and administrative region in central Estonia known for its rural landscapes and small towns.
  • E. Hiiumaa Parish
    Hiiumaa Parish is a rural municipality in Hiiu County, Estonia, encompassing much of the island of Hiiumaa and its settlements.
  • 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: Pärnu County
Triple: [Pärnu, locatedIn, Pärnu County]
Generated description
Pärnu County is an administrative region in southwestern Estonia known for its coastal landscapes and the resort city of Pärnu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pärnu County
Target entity description: Pärnu County is an administrative region in southwestern Estonia known for its coastal landscapes and the resort city of Pärnu.
  • A. Tartu County
    Tartu County is an administrative region in eastern Estonia centered around the university city of Tartu and known for its cultural, educational, and economic significance.
  • B. Võru County
    Võru County is a rural region in southeastern Estonia known for its distinct South Estonian (Võro) linguistic and cultural heritage.
  • C. Lääne-Viru County
    Lääne-Viru County is a northeastern administrative region of Estonia known for its coastal landscapes, historic manors, and the town of Rakvere.
  • D. Järva County
    Järva County is a historical and administrative region in central Estonia known for its rural landscapes and small towns.
  • E. Hiiumaa Parish
    Hiiumaa Parish is a rural municipality in Hiiu County, Estonia, encompassing much of the island of Hiiumaa and its settlements.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae938714c8190b89917e6ded004da completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb13cdb4288190ae3cfe1ee4e3e496 completed March 31, 2026, 12:22 a.m.
NEDg Description generation batch_69cb1636b0d48190a57c2d3a7b3b41ed completed March 31, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a29d2988190bb64aada0d2ef463 completed March 31, 2026, 12:49 a.m.
Created at: March 30, 2026, 4:31 p.m.