Triple

T9151449
Position Surface form Disambiguated ID Type / Status
Subject Traktorozavodskaya station E219593 entity
Predicate hasOwner P347 FINISHED
Object City of Volgograd E7727 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 Volgograd | Statement: [Traktorozavodskaya station, hasOwner, City of Volgograd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Volgograd
Context triple: [Traktorozavodskaya station, hasOwner, City of Volgograd]
  • A. Volgograd chosen
    Volgograd is a major city in southwestern Russia on the Volga River, historically known as Stalingrad and renowned as the site of one of World War II’s most pivotal and brutal battles.
  • B. Petrovgrad
    Petrovgrad was the former name of the Serbian city now known as Zrenjanin, located in the Vojvodina region.
  • C. Dimitrovgrad
    Dimitrovgrad is a major industrial and scientific city in Russia, known especially for its nuclear research facilities and machine-building industries.
  • D. Dimitrovgrad
    Dimitrovgrad is a Bulgarian industrial city in the south-central part of the country, known for its post-World War II planned urban layout and location in the Upper Thracian Plain.
  • E. Rostov-on-Don
    Rostov-on-Don is a major port city in southern Russia, located on the Don River near the Sea of Azov and serving as an important administrative, cultural, and industrial center of the region.
  • 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_69ca83e25418819093c6503deeaf30de completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca96cf4548190a3a45172f0e9d0ec completed April 1, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0545c5bb48190b889e6e9ef0448a5 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:20 p.m.