Triple

T19582441
Position Surface form Disambiguated ID Type / Status
Subject Harku rural municipality E490028 entity
Predicate hasSettlement P1068 FINISHED
Object Muraste 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: Muraste | Statement: [Harku rural municipality, hasSettlement, Muraste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muraste
Context triple: [Harku rural municipality, hasSettlement, Muraste]
  • A. Muraste chosen
    Muraste is a village in northern Estonia, located near the capital Tallinn on the coast of the Baltic Sea.
  • B. Maumelle
    Maumelle is a suburban city in central Arkansas that serves as a residential community within the greater Little Rock metropolitan region.
  • C. Mustasaari
    Mustasaari is a municipality in western Finland, located near the city of Vaasa on the coast of the Gulf of Bothnia.
  • D. Mihintale
    Mihintale is an ancient pilgrimage site in Sri Lanka revered as the place where Buddhism was first introduced to the island.
  • E. Maaninka
    Maaninka is a former rural municipality in eastern Finland, known for its lakes and agricultural landscape, that is now part of the city of Kuopio in the Northern Savonia region.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6404e18f88190b7fec59499dd25e8 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.