Triple

T19582445
Position Surface form Disambiguated ID Type / Status
Subject Harku rural municipality E490028 entity
Predicate hasSettlement P1068 FINISHED
Object Rannamõisa 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: Rannamõisa | Statement: [Harku rural municipality, hasSettlement, Rannamõisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rannamõisa
Context triple: [Harku rural municipality, hasSettlement, Rannamõisa]
  • A. Rannamõisa chosen
    Rannamõisa is a village in northern Estonia known for its coastal location on the Baltic Sea and proximity to the capital, Tallinn.
  • B. Tammneeme
    Tammneeme is a coastal village in northern Estonia known for its seaside location on the Viimsi Peninsula near Tallinn.
  • C. Õismäe
    Õismäe is a residential subdistrict of Tallinn, Estonia, known for its large Soviet-era apartment blocks and distinctive circular street layout.
  • D. Heltermaa
    Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
  • E. Mustjõe
    Mustjõe is a subdistrict of Tallinn, Estonia, located within the Haabersti district.
  • 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.