Triple

T20137684
Position Surface form Disambiguated ID Type / Status
Subject Maardu E491064 entity
Predicate governingBody P46 FINISHED
Object Maardu town government 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: Maardu town government | Statement: [Maardu, governingBody, Maardu town government]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maardu town government
Context triple: [Maardu, governingBody, Maardu town government]
  • A. Maardu chosen
    Maardu is an industrial town in northern Estonia, located just east of the capital Tallinn in Harju County.
  • B. Saaremaa municipal council
    Saaremaa municipal council is the elected representative body responsible for local legislation, budgeting, and governance in Estonia’s Saaremaa municipality.
  • 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. Martuni Municipality
    Martuni Municipality is an administrative community and town in eastern Armenia, located within Gegharkunik Province near Lake Sevan.
  • 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.