Triple

T20137944
Position Surface form Disambiguated ID Type / Status
Subject Viimsi Peninsula E491073 entity
Predicate containsSettlement P847 FINISHED
Object Metsakasti NE NERFINISHED

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: Metsakasti | Statement: [Viimsi Peninsula, containsSettlement, Metsakasti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metsakasti
Context triple: [Viimsi Peninsula, containsSettlement, Metsakasti]
  • A. Metsakasti chosen
    Metsakasti is a small village located within Viimsi Parish in northern Estonia, near the capital city of Tallinn.
  • B. Metsavennad
    Metsavennad were Estonian anti-Soviet partisans who waged guerrilla resistance in the forests of Estonia during and after World War II.
  • C. Mettet
    Mettet is a municipality in Wallonia, Belgium, known for its rural character and the Circuit Jules Tacheny motor racing track.
  • D. Matsesta
    Matsesta is a spa and resort area near Sochi on Russia’s Black Sea coast, historically renowned for its therapeutic sulfur springs.
  • E. Ojakkala
    Ojakkala is a village in the municipality of Vihti in southern Finland, known for its rural residential character and proximity to the Helsinki metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6676879f48190a59da04393d2a8cc completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.