Triple

T9045711
Position Surface form Disambiguated ID Type / Status
Subject Engels, Saratov Oblast E216749 entity
Predicate oppositeCityAcrossRiver P382 FINISHED
Object Saratov E67637 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: Saratov | Statement: [Engels, Saratov Oblast, oppositeCityAcrossRiver, Saratov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saratov
Context triple: [Engels, Saratov Oblast, oppositeCityAcrossRiver, Saratov]
  • A. Saratov chosen
    Saratov is a major city in southwestern Russia known as an important cultural, educational, and industrial center on the banks of the Volga River.
  • B. Rostov
    Rostov is one of Russia’s oldest and most historically significant towns, renowned for its well-preserved kremlin and traditional architecture.
  • C. Voronezh
    Voronezh is a major city in southwestern Russia, situated on the Voronezh River and serving as an important cultural, industrial, and transportation center.
  • D. Rostova
    Rostova is a Russian surname best known from Leo Tolstoy’s novel "War and Peace," where it is borne by members of the central Rostov family.
  • E. Ulyanovsk
    Ulyanovsk is a city in western Russia on the Volga River, best known as the birthplace of Vladimir Lenin and an important regional industrial and cultural center.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b148b188190814d64acae493634 completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e3e1ac348190aec39a41b8b113dc completed April 5, 2026, 4:24 a.m.
Created at: March 30, 2026, 7:09 p.m.