Triple

T11857331
Position Surface form Disambiguated ID Type / Status
Subject Uman–Botoșani offensive E282071 entity
Predicate capturedCity P8411 FINISHED
Object Vapniarka
Vapniarka is a small settlement in present-day Ukraine that gained historical significance as a site of military action and occupation during World War II.
 E951653 NE FINISHED

How this triple was built (4 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: Vapniarka | Statement: [Uman–Botoșani offensive, capturedCity, Vapniarka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vapniarka
Context triple: [Uman–Botoșani offensive, capturedCity, Vapniarka]
  • A. Barud
    Barud is a small town located in the Khargone district of the central Indian state of Madhya Pradesh.
  • B. Orpo
    Orpo was the uniformed regular police force of Nazi Germany, responsible for maintaining public order and involved in numerous wartime atrocities and repressive activities.
  • C. Avsola
    Avsola is a biosimilar monoclonal antibody to infliximab used to treat various autoimmune inflammatory conditions.
  • D. Kaleibar
    Kaleibar is a small historic city in northwestern Iran known for its mountainous landscapes and proximity to the Babak Castle fortress.
  • E. Shambuko
    Shambuko is a town and administrative center located in the Gash-Barka region of western Eritrea.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vapniarka
Triple: [Uman–Botoșani offensive, capturedCity, Vapniarka]
Generated description
Vapniarka is a small settlement in present-day Ukraine that gained historical significance as a site of military action and occupation during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vapniarka
Target entity description: Vapniarka is a small settlement in present-day Ukraine that gained historical significance as a site of military action and occupation during World War II.
  • A. Barud
    Barud is a small town located in the Khargone district of the central Indian state of Madhya Pradesh.
  • B. Orpo
    Orpo was the uniformed regular police force of Nazi Germany, responsible for maintaining public order and involved in numerous wartime atrocities and repressive activities.
  • C. Avsola
    Avsola is a biosimilar monoclonal antibody to infliximab used to treat various autoimmune inflammatory conditions.
  • D. Kaleibar
    Kaleibar is a small historic city in northwestern Iran known for its mountainous landscapes and proximity to the Babak Castle fortress.
  • E. Shambuko
    Shambuko is a town and administrative center located in the Gash-Barka region of western Eritrea.
  • F. None of above. chosen

Provenance (5 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a699089c8190b7a298baf13dcded completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f2816404ac81909129347607fb5fd3 completed April 29, 2026, 10:08 p.m.
NEDg Description generation batch_69f28d363cac8190b961f17245db493c completed April 29, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69f29150bf508190bdf037d40e445e6d completed April 29, 2026, 11:16 p.m.
Created at: April 8, 2026, 9:43 p.m.