Triple

T19582415
Position Surface form Disambiguated ID Type / Status
Subject Haabersti subdistrict E490027 entity
Predicate partOf P40 FINISHED
Object municipality of Tallinn 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: municipality of Tallinn | Statement: [Haabersti subdistrict, partOf, municipality of Tallinn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: municipality of Tallinn
Context triple: [Haabersti subdistrict, partOf, municipality of Tallinn]
  • A. municipality of Helsinki
    The municipality of Helsinki is Finland’s capital and largest city, serving as the country’s political, economic, and cultural center on the southern coast along the Gulf of Finland.
  • B. Tallinn chosen
    Tallinn is the capital and largest city of Estonia, a historic Baltic Sea port known for its well-preserved medieval Old Town and strategic maritime location.
  • C. Tartu City Council
    Tartu City Council is the elected municipal governing body responsible for setting local policies and overseeing administration in the city of Tartu, Estonia.
  • D. Narva City Government
    Narva City Government is the municipal authority responsible for local administration, public services, and governance in the city of Narva, Estonia.
  • E. Tartu
    Tartu is Estonia’s second-largest city and a historic cultural and intellectual center, best known as the country’s main university town.
  • 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.