Triple

T3110386
Position Surface form Disambiguated ID Type / Status
Subject Władysław Korczyc E64935 entity
Predicate familyName P18 FINISHED
Object Korczyc
Korczyc is a Polish surname most notably borne by Władysław Korczyc, a general and political figure in mid-20th-century Poland.
E336865 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: Korczyc | Statement: [Władysław Korczyc, familyName, Korczyc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korczyc
Context triple: [Władysław Korczyc, familyName, Korczyc]
  • A. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • B. Korsze
    Korsze is a small town in northern Poland, situated in the Warmian-Masurian Voivodeship and known as a local rail and service center for the surrounding rural area.
  • C. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • D. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • E. Jaworzyna Krynicka
    Jaworzyna Krynicka is a prominent mountain in southern Poland’s Beskid Sądecki range, known for its ski resort, hiking trails, and cable car access near the spa town of Krynica-Zdrój.
  • 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: Korczyc
Triple: [Władysław Korczyc, familyName, Korczyc]
Generated description
Korczyc is a Polish surname most notably borne by Władysław Korczyc, a general and political figure in mid-20th-century Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Korczyc
Target entity description: Korczyc is a Polish surname most notably borne by Władysław Korczyc, a general and political figure in mid-20th-century Poland.
  • A. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • B. Korsze
    Korsze is a small town in northern Poland, situated in the Warmian-Masurian Voivodeship and known as a local rail and service center for the surrounding rural area.
  • C. Muszyna
    Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
  • D. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • E. Jaworzyna Krynicka
    Jaworzyna Krynicka is a prominent mountain in southern Poland’s Beskid Sądecki range, known for its ski resort, hiking trails, and cable car access near the spa town of Krynica-Zdrój.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada437c5e08190af22f6fa11cf9252 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b261eb2e708190b192574d3f5862e6 completed March 12, 2026, 6:49 a.m.
NEDg Description generation batch_69b2638b3b2881909563356ea8a9611c completed March 12, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69b264fb42e4819084c289235f33b654 completed March 12, 2026, 7:02 a.m.
Created at: March 8, 2026, 3:04 p.m.