Triple

T14022462
Position Surface form Disambiguated ID Type / Status
Subject Saratov-1 railway station E337368 entity
Predicate connectsTo P845 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: [Saratov-1 railway station, connectsTo, Astrakhan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Astrakhan
Context triple: [Saratov-1 railway station, connectsTo, 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. Cheboksary
    Cheboksary is a major city on the Volga River in western Russia and the capital of the Chuvash Republic.
  • D. 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.
  • E. Krasnovodsk
    Krasnovodsk, now known as Türkmenbaşy, is a key port city on the eastern shore of the Caspian Sea in western Turkmenistan.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3d87b88190b038d334f4965369 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324133f8819088c0d80a4e8fb5be completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 10:19 p.m.