Triple

T19581954
Position Surface form Disambiguated ID Type / Status
Subject Kesklinn district E490014 entity
Predicate contains P35 FINISHED
Object Kadriorg 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: Kadriorg | Statement: [Kesklinn district, contains, Kadriorg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kadriorg
Context triple: [Kesklinn district, contains, Kadriorg]
  • A. Kadriorg Palace
    Kadriorg Palace is an early 18th-century Baroque palace in Tallinn, Estonia, built as a summer residence for Russian Emperor Peter the Great and now housing an art museum.
  • B. Kadriorg Park chosen
    Kadriorg Park is a historic and expansive landscaped park in Tallinn, Estonia, known for its formal gardens, ponds, and cultural attractions surrounding the baroque Kadriorg Palace.
  • C. Haapsalu
    Haapsalu is a small seaside town in western Estonia known for its historic wooden architecture, medieval castle, and traditional seaside resort and spa culture.
  • D. Kuressaare
    Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
  • E. Maardu
    Maardu is an industrial town in northern Estonia, located just east of the capital Tallinn in Harju County.
  • 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.