Triple

T15657496
Position Surface form Disambiguated ID Type / Status
Subject Kadriorg Palace E376480 entity
Predicate district P2709 FINISHED
Object Kadriorg E376480 NE FINISHED

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: [Kadriorg Palace, district, Kadriorg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kadriorg
Context triple: [Kadriorg Palace, district, Kadriorg]
  • A. Kadriorg Palace chosen
    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. 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.
  • C. Kuressaare
    Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
  • D. Maardu
    Maardu is an industrial town in northern Estonia, located just east of the capital Tallinn in Harju County.
  • E. Narva
    Narva is a historic city in northeastern Estonia on the border with Russia, known for its strategic military importance and well-preserved fortress overlooking the Narva River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef3cb8c8190a10815b675b341c1 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff679bb7f0819092a98c2981bc9267 completed May 9, 2026, 4:58 p.m.
Created at: April 10, 2026, 4:15 a.m.