Triple

T16295777
Position Surface form Disambiguated ID Type / Status
Subject Tevye the Dairyman E395642 entity
Predicate placeOfResidence P75 FINISHED
Object Anatevka E268006 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: Anatevka | Statement: [Tevye the Dairyman, placeOfResidence, Anatevka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anatevka
Context triple: [Tevye the Dairyman, placeOfResidence, Anatevka]
  • A. Anatevka chosen
    Anatevka is the fictional Jewish shtetl that serves as the central village backdrop for the musical and film "Fiddler on the Roof."
  • B. Horodok
    Horodok is a small town in western Ukraine known for its historical roots and location within the Khmelnytskyi region.
  • C. Simmenthal
    Simmenthal is a landmark decision of the European Court of Justice that reinforced the supremacy and direct effect of European Community law over conflicting national legislation.
  • D. Kingisepp
    Kingisepp is a town in northwestern Russia near the Estonian border, known for its industrial base and historical roots dating back to the 14th century.
  • E. Mirgorod
    Mirgorod is a collection of short stories by Russian-Ukrainian writer Nikolai Gogol, known for its blend of folklore, satire, and psychological insight into provincial life.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2d08108190bab1b3325923af1d completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9b42248190a3c8c2647a42aeb9 completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.