Triple

T20229525
Position Surface form Disambiguated ID Type / Status
Subject Robotyne area E495477 entity
Predicate nearFront P61842 FINISHED
Object Orikhiv sector NE NERFINISHED

How this triple was built (3 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: Orikhiv sector | Statement: [Robotyne area, nearFront, Orikhiv sector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orikhiv sector
Context triple: [Robotyne area, nearFront, Orikhiv sector]
  • A. Orikhiv sector chosen
    The Orikhiv sector is a key frontline area in Ukraine’s Zaporizhzhia region that has seen intense fighting during the Russian invasion.
  • B. Kupiansk Okruha
    Kupiansk Okruha was an administrative district in early Soviet Ukraine that replaced part of the former Kharkov Governorate during the 1920s territorial reforms.
  • C. Kupiansk
    Kupiansk is a strategically important city in Ukraine’s Kharkiv Oblast, serving as a key railway and logistics hub near the front lines of the Russo-Ukrainian War.
  • D. Korsun-Shevchenkivskyi
    Korsun-Shevchenkivskyi is a town in central Ukraine known as the site of a major World War II battle during the Korsun–Shevchenkivsky Offensive.
  • E. Kharkov sector
    The Kharkov sector was a key area of the Eastern Front around the city of Kharkov in World War II, heavily contested by German and Soviet forces in multiple major operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nearFront
Context triple: [Robotyne area, nearFront, Orikhiv sector]
  • A. near
    Indicates that one entity is located at a short distance from another entity in space or position.
  • B. nearPass
    Indicates that one entity moves or travels close to another entity without necessarily making direct contact or interaction.
  • C. frontLineNear chosen
    Indicates that one entity is located close to the primary boundary or front line associated with another entity.
  • D. frontOf
    Indicates that one entity is positioned directly before another along a primary viewing or movement direction.
  • E. nearestPass
    Indicates that one entity is the closest in distance or proximity to another entity compared to all other possible entities or paths.
  • F. None of above.

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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fdc2590819089a946d16c6c0e59 completed April 20, 2026, 6:26 p.m.
PD Predicate disambiguation batch_69e55b18609481909ab28bc8750a642f completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:39 p.m.