Triple

T8790040
Position Surface form Disambiguated ID Type / Status
Subject Oberndorf am Neckar E209138 entity
Predicate hasTwinTown P919 FINISHED
Object Petersburg (Russia) E489899 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: Petersburg (Russia) | Statement: [Oberndorf am Neckar, hasTwinTown, Petersburg (Russia)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petersburg (Russia)
Context triple: [Oberndorf am Neckar, hasTwinTown, Petersburg (Russia)]
  • A. Taganrog
    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. Ekaterinodar
    Ekaterinodar, now known as Krasnodar, was a major city in southern Russia that served as an important political and military center in the Kuban region.
  • C. Volgodonsk
    Volgodonsk is an industrial city in southwestern Russia known for its nuclear power plant and location on the Tsimlyansk Reservoir in Rostov Oblast.
  • D. Saint Petersburg Federal City chosen
    Saint Petersburg Federal City is a major Russian federal subject centered on the historic city of Saint Petersburg, a key cultural, scientific, and industrial hub in northwestern Russia.
  • E. Cherepovets
    Cherepovets is a major industrial city in northwestern Russia, known especially for its large steel production and chemical industries.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8d25f881908863d636fa57a8a2 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfa046aabc8190abca2957593edc8b completed April 3, 2026, 11:11 a.m.
Created at: March 30, 2026, 6:43 p.m.