Triple

T7793008
Position Surface form Disambiguated ID Type / Status
Subject Pärnu E180225 entity
Predicate administrativeCentreOf P1474 FINISHED
Object Pärnu urban municipality E180225 NE FINISHED

How this triple was built (2 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 urban municipality | Statement: [Pärnu, administrativeCentreOf, Pärnu urban municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pärnu urban municipality
Context triple: [Pärnu, administrativeCentreOf, Pärnu urban municipality]
  • A. Pärnu chosen
    Pärnu is a coastal city in southwestern Estonia known as a popular summer resort and spa destination on the Baltic Sea.
  • B. Pärnamäe
    Pärnamäe is a village located in Viimsi Parish in northern Estonia, near the capital city Tallinn.
  • C. Hiiumaa Parish
    Hiiumaa Parish is a rural municipality in Hiiu County, Estonia, encompassing much of the island of Hiiumaa and its settlements.
  • D. Kuusalu Parish
    Kuusalu Parish is a rural municipality in northern Estonia known for its coastal landscapes, forests, and cultural heritage within Harju County.
  • E. Anija Parish
    Anija Parish is a rural municipality in northern Estonia known for its forests, rivers, and small settlements within Harju County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69cb13dbe1f88190bde2c5c76dcfeb8f completed March 31, 2026, 12:22 a.m.
Created at: March 30, 2026, 4:31 p.m.