Triple

T15113062
Position Surface form Disambiguated ID Type / Status
Subject Alferaki Palace E360961 entity
Predicate ownedBy P347 FINISHED
Object City of Taganrog E73252 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: City of Taganrog | Statement: [Alferaki Palace, ownedBy, City of Taganrog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Taganrog
Context triple: [Alferaki Palace, ownedBy, City of Taganrog]
  • A. Taganrog chosen
    Taganrog is a port city in southwestern Russia on the northern coast of the Sea of Azov, known for its maritime trade and as the birthplace of writer Anton Chekhov.
  • B. Bakhchisarai
    Bakhchisarai is a historic town in Crimea that served as the political and cultural center of the Crimean Tatar khans, renowned for its palaces, mosques, and oriental architecture.
  • C. Eupatoria
    Eupatoria is a historic resort and port city on the western coast of Crimea, known for its beaches, therapeutic muds, and diverse cultural heritage.
  • D. Slavgorod
    Slavgorod is a town in eastern Belarus known for its location near the Sozh River and its historical and regional significance.
  • E. Krasnoarmeysk
    Krasnoarmeysk is a town in southwestern Russia known as one of the urban centers of Saratov Oblast.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058d786c8190937c6819255c01bd completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7eccb988190aae27dd28cf50997 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:05 a.m.