Triple

T20537057
Position Surface form Disambiguated ID Type / Status
Subject Rawa County E504226 entity
Predicate hasSettlement P1068 FINISHED
Object Kopanka
Kopanka is a village located in Rawa County in central Poland.
E1438888 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: Kopanka | Statement: [Rawa County, hasSettlement, Kopanka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kopanka
Context triple: [Rawa County, hasSettlement, Kopanka]
  • A. Kopaska
    Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
  • B. Konopnica
    Konopnica is a village located in Rawa County in central Poland.
  • C. Kamenka
    Kamenka is a rural settlement located along the Mezen River in northern European Russia.
  • D. Polyanka
    Polyanka is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line, located near the city center and serving the surrounding Polyanka Street area.
  • E. Kabaty
    Kabaty is a residential neighborhood in the southern part of Warsaw, Poland, known for its proximity to the Kabaty Forest and as the terminus area of the city’s first metro line.
  • 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: Kopanka
Triple: [Rawa County, hasSettlement, Kopanka]
Generated description
Kopanka is a village located in Rawa County in central Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kopanka
Target entity description: Kopanka is a village located in Rawa County in central Poland.
  • A. Kopaska
    Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
  • B. Konopnica
    Konopnica is a village located in Rawa County in central Poland.
  • C. Kamenka
    Kamenka is a rural settlement located along the Mezen River in northern European Russia.
  • D. Polyanka
    Polyanka is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line, located near the city center and serving the surrounding Polyanka Street area.
  • E. Kabaty
    Kabaty is a residential neighborhood in the southern part of Warsaw, Poland, known for its proximity to the Kabaty Forest and as the terminus area of the city’s first metro line.
  • 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a28f2f1081908f656d790ff182ff completed April 20, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08acd567f88190accf53a985baa9b4 completed May 16, 2026, 5:43 p.m.
NEDg Description generation batch_6a08ae401ed481908b6222d572d57b35 completed May 16, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_6a08aec256988190bc43a1f784a458ec completed May 16, 2026, 5:52 p.m.
Created at: April 16, 2026, 11:37 a.m.