Triple

T12136165
Position Surface form Disambiguated ID Type / Status
Subject Battle for Tsaritsyn E289062 entity
Predicate location P40 FINISHED
Object Tsaritsyn E42419 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: Tsaritsyn | Statement: [Battle for Tsaritsyn, location, Tsaritsyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsaritsyn
Context triple: [Battle for Tsaritsyn, location, Tsaritsyn]
  • A. Tsaritsyn chosen
    Tsaritsyn was the original name of the Russian city now known as Volgograd, a major industrial and historical center on the Volga River.
  • B. Kolomna
    Kolomna is a historic Russian city southeast of Moscow, known for its well-preserved kremlin, medieval architecture, and traditional pastila confectionery.
  • C. Tselinograd
    Tselinograd was the Soviet-era name of Kazakhstan’s capital city, now known as Astana.
  • D. Petrovgrad
    Petrovgrad was the former name of the Serbian city now known as Zrenjanin, located in the Vojvodina region.
  • E. Tver
    Tver is a historic city in western Russia, located northwest of Moscow on the Volga River and serving as the administrative center of Tver 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158dd00c819082651891898b91bb completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a81f6708190a6a215421f8ce8dd completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:49 p.m.