Triple

T7162405
Position Surface form Disambiguated ID Type / Status
Subject Battle of Kodziowce E166977 entity
Predicate location P40 FINISHED
Object Kodziowce
Kodziowce is a village in northeastern Poland known primarily as the site of the World War II Battle of Kodziowce.
 E647553 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: Kodziowce | Statement: [Battle of Kodziowce, location, Kodziowce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kodziowce
Context triple: [Battle of Kodziowce, location, Kodziowce]
  • A. Sokołówka
    Sokołówka is a small river in Poland known for flowing through the city of Łódź and its surrounding areas.
  • B. Krzemień
    Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
  • C. Goleniów
    Goleniów is a town in northwestern Poland that serves as a local transport hub and gateway to the nearby regional capital Szczecin.
  • D. Koserow
    Koserow is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and coastal landscapes.
  • E. Chorkówka
    Chorkówka is a village in southeastern Poland known historically as the place where pioneering oil industry chemist and pharmacist Ignacy Łukasiewicz spent his final years and died.
  • 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: Kodziowce
Triple: [Battle of Kodziowce, location, Kodziowce]
Generated description
Kodziowce is a village in northeastern Poland known primarily as the site of the World War II Battle of Kodziowce.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kodziowce
Target entity description: Kodziowce is a village in northeastern Poland known primarily as the site of the World War II Battle of Kodziowce.
  • A. Sokołówka
    Sokołówka is a small river in Poland known for flowing through the city of Łódź and its surrounding areas.
  • B. Krzemień
    Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
  • C. Goleniów
    Goleniów is a town in northwestern Poland that serves as a local transport hub and gateway to the nearby regional capital Szczecin.
  • D. Koserow
    Koserow is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and coastal landscapes.
  • E. Chorkówka
    Chorkówka is a village in southeastern Poland known historically as the place where pioneering oil industry chemist and pharmacist Ignacy Łukasiewicz spent his final years and died.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e82e4b248190ad3c3863cb93971e completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8fae30481909c39d68fb828a2c0 completed March 28, 2026, 11:18 a.m.
NEDg Description generation batch_69c7ba059c208190a3bcd9978ae195a8 completed March 28, 2026, 11:22 a.m.
NED2 Entity disambiguation (via description) batch_69c7bac34f2c8190b9141beff85dc363 completed March 28, 2026, 11:25 a.m.
Created at: March 27, 2026, 2:47 p.m.