Triple

T2581791
Position Surface form Disambiguated ID Type / Status
Subject Volga region E57107 entity
Predicate hasMajorCity P316 FINISHED
Object Astrakhan E380061 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: Astrakhan | Statement: [Volga region, hasMajorCity, Astrakhan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Astrakhan
Context triple: [Volga region, hasMajorCity, Astrakhan]
  • A. Astrakhan chosen
    Astrakhan is a historic Russian city near the Caspian Sea, known as a key Volga River port and gateway to the Volga Delta region.
  • B. Orenburg
    Orenburg is a major city in southwestern Russia near the Ural River, historically significant as a frontier fortress and administrative center linking European Russia with Central Asia.
  • C. Berdyansk
    Berdyansk is a port city in southeastern Ukraine on the northern coast of the Sea of Azov, known for its maritime trade, beaches, and resort facilities.
  • D. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • E. Kaspiysk
    Kaspiysk is a coastal city on the Caspian Sea in the Republic of Dagestan, Russia, known for its industrial base and strategic naval facilities.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3c843bc8190837cea3441bf3ca1 completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69b53fc6f4b48190aebcf7457b6d670d completed March 14, 2026, 11 a.m.
Created at: March 6, 2026, 9:49 p.m.