Triple

T12218223
Position Surface form Disambiguated ID Type / Status
Subject Zhitomir–Berdichev offensive E291141 entity
Predicate location P40 FINISHED
Object Berdichev E370669 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: Berdichev | Statement: [Zhitomir–Berdichev offensive, location, Berdichev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berdichev
Context triple: [Zhitomir–Berdichev offensive, location, Berdichev]
  • A. Berdichev chosen
    Berdichev is a historic city in present-day Ukraine, long known as a major center of Jewish life and commerce in Eastern Europe.
  • B. Zbarazh
    Zbarazh is a historic town in western Ukraine known for its medieval castle and role in regional political and military history.
  • C. Drohobych
    Drohobych is a historic city in western Ukraine known for its medieval architecture, salt production heritage, and association with writer and artist Bruno Schulz.
  • D. Berehove
    Berehove is a town in western Ukraine’s Zakarpattia region known for its significant Hungarian community, thermal baths, and wine-making traditions.
  • E. Chortkiv
    Chortkiv is a historic town in western Ukraine known for its architectural landmarks and role as a local 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c951f5881908db6edfda1153d6f completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6555903b08190a8c70bf7eda47dff completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:51 p.m.