Triple

T16816642
Position Surface form Disambiguated ID Type / Status
Subject Battle of Dubienka E408768 entity
Predicate location P40 FINISHED
Object Dubienka
Dubienka is a village in eastern Poland near the Bug River, historically notable as the site of the 1792 Battle of Dubienka during the Polish–Russian War.
E1236104 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: Dubienka | Statement: [Battle of Dubienka, location, Dubienka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dubienka
Context triple: [Battle of Dubienka, location, Dubienka]
  • A. Krasnobród
    Krasnobród is a small town in southeastern Poland known for its historical role in World War II and as a local tourist and spa destination in the Roztocze region.
  • B. Domažlice
    Domažlice is a historic town in the western Czech Republic known for its well-preserved medieval center and rich Chodové folk traditions.
  • C. Jabłonka
    Jabłonka is a village in southern Poland that serves as the seat of Gmina Jabłonka in the Lesser Poland Voivodeship.
  • D. Dubno
    Dubno is a historic city in western Ukraine known for its medieval castle and role as a regional cultural and economic center.
  • E. Kobylisy
    Kobylisy is a residential district in northern Prague, Czech Republic, known for its metro station on Line C and its postwar housing estates.
  • 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: Dubienka
Triple: [Battle of Dubienka, location, Dubienka]
Generated description
Dubienka is a village in eastern Poland near the Bug River, historically notable as the site of the 1792 Battle of Dubienka during the Polish–Russian War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dubienka
Target entity description: Dubienka is a village in eastern Poland near the Bug River, historically notable as the site of the 1792 Battle of Dubienka during the Polish–Russian War.
  • A. Krasnobród
    Krasnobród is a small town in southeastern Poland known for its historical role in World War II and as a local tourist and spa destination in the Roztocze region.
  • B. Domažlice
    Domažlice is a historic town in the western Czech Republic known for its well-preserved medieval center and rich Chodové folk traditions.
  • C. Jabłonka
    Jabłonka is a village in southern Poland that serves as the seat of Gmina Jabłonka in the Lesser Poland Voivodeship.
  • D. Dubno
    Dubno is a historic city in western Ukraine known for its medieval castle and role as a regional cultural and economic center.
  • E. Kobylisy
    Kobylisy is a residential district in northern Prague, Czech Republic, known for its metro station on Line C and its postwar housing estates.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e1de908190aa3508770fb865cf completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb0f863081908e74dc4a7c91e91d completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bb9b2b1881908f9f5c3dd1a2d500 completed May 10, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc3a4b888190bd190b9330e2777d completed May 10, 2026, 5:11 p.m.
Created at: April 10, 2026, 5:23 a.m.