Triple

T8901202
Position Surface form Disambiguated ID Type / Status
Subject University of Czernowitz E211933 entity
Predicate locatedIn P40 FINISHED
Object Czernowitz E487649 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: Czernowitz | Statement: [University of Czernowitz, locatedIn, Czernowitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Czernowitz
Context triple: [University of Czernowitz, locatedIn, Czernowitz]
  • A. Czernowitz chosen
    Czernowitz is the former German name of Chernivtsi, a historically multicultural city in Western Ukraine that was once part of the Austro-Hungarian Empire.
  • B. Glogau
    Glogau is the German name for the town of Głogów, a historic city in southwestern Poland on the Oder River.
  • C. Stanisławów
    Stanisławów is a historic city in the former eastern borderlands of Poland (now Ivano-Frankivsk in Ukraine), known for its multicultural heritage and shifting political history.
  • D. Lwów
    Lwów is a historic city in Eastern Europe, now known as Lviv in western Ukraine, long recognized as a major cultural and political center of the region.
  • E. Tarnopol
    Tarnopol is a historic city in western Ukraine, now known as Ternopil, which has long served as a regional cultural and administrative 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6428ffc48190814f6b865961dbd1 completed April 1, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba26bc7881908639e9a812dec894 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:54 p.m.