Triple

T12605993
Position Surface form Disambiguated ID Type / Status
Subject Chortkiv offensive E300979 entity
Predicate location P40 FINISHED
Object Chortkiv E863901 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: Chortkiv | Statement: [Chortkiv offensive, location, Chortkiv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chortkiv
Context triple: [Chortkiv offensive, location, Chortkiv]
  • A. Chortkiv chosen
    Chortkiv is a historic town in western Ukraine known for its architectural landmarks and role as a local cultural and administrative center.
  • B. Krasyliv
    Krasyliv is a small town in western Ukraine known for its agricultural surroundings and local light industry within Khmelnytskyi Oblast.
  • C. Horokhiv
    Horokhiv is a small town in western Ukraine known for its location within the historic Volyn region.
  • D. Kolomyia
    Kolomyia is a historic city in western Ukraine known for its cultural heritage, traditional Hutsul art, and the renowned Pysanka (Easter egg) Museum.
  • E. Kremenets
    Kremenets is a historic town in western Ukraine known for its rich cultural heritage and once-significant Jewish community.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e7f2dc8190a42cab7a0e5ea7f3 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8c0510081909459662cb91a82b4 completed May 3, 2026, 2:53 a.m.
Created at: April 9, 2026, 5:10 p.m.