Triple

T6651743
Position Surface form Disambiguated ID Type / Status
Subject Nysa Kłodzka E150837 entity
Predicate hasTributary P415 FINISHED
Object Morawka
Morawka is a river in southwestern Poland that serves as a tributary of the Nysa Kłodzka.
E609848 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: Morawka | Statement: [Nysa Kłodzka, hasTributary, Morawka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morawka
Context triple: [Nysa Kłodzka, hasTributary, Morawka]
  • A. Arciszewski
    Arciszewski is a Polish surname most notably borne by Tomasz Arciszewski, a socialist politician and Prime Minister of the Polish government-in-exile during World War II.
  • B. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • C. Radkiewicz
    Radkiewicz is a Polish surname most notably associated with Stanisław Radkiewicz, a prominent communist-era politician and security official in Poland.
  • D. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • E. Dombrowski
    Dombrowski is a surname most prominently associated with Dave Dombrowski, a longtime Major League Baseball executive known for leading multiple franchises to pennants and World Series titles.
  • 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: Morawka
Triple: [Nysa Kłodzka, hasTributary, Morawka]
Generated description
Morawka is a river in southwestern Poland that serves as a tributary of the Nysa Kłodzka.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Morawka
Target entity description: Morawka is a river in southwestern Poland that serves as a tributary of the Nysa Kłodzka.
  • A. Arciszewski
    Arciszewski is a Polish surname most notably borne by Tomasz Arciszewski, a socialist politician and Prime Minister of the Polish government-in-exile during World War II.
  • B. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • C. Radkiewicz
    Radkiewicz is a Polish surname most notably associated with Stanisław Radkiewicz, a prominent communist-era politician and security official in Poland.
  • D. Rosenbad
    Rosenbad is a prominent government building complex in central Stockholm that houses the offices of the Prime Minister and the Swedish Government.
  • E. Dombrowski
    Dombrowski is a surname most prominently associated with Dave Dombrowski, a longtime Major League Baseball executive known for leading multiple franchises to pennants and World Series titles.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0458fb48190a76d8d1d6273a92b completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eefb3b6c8190ba797dc51966e3a5 completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f1ed97248190ab2253b3b2457f4f completed March 27, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69c6f2c18c0081908958b7ffeed7a787 completed March 27, 2026, 9:12 p.m.
Created at: March 27, 2026, 2:01 p.m.