Triple

T5288006
Position Surface form Disambiguated ID Type / Status
Subject Kielce E119671 entity
Predicate river P165 FINISHED
Object Silnica
Silnica is a small river in south-central Poland that flows through the city of Kielce and forms part of its urban landscape.
 E508024 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: Silnica | Statement: [Kielce, river, Silnica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Silnica
Context triple: [Kielce, river, Silnica]
  • A. Lučina
    Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
  • B. Łužica
    Łužica is the Upper Sorbian name for Lusatia, a historical region in Central Europe traditionally inhabited by the West Slavic Sorbian people.
  • C. Blšanka
    Blšanka is a small river in the Czech Republic that flows through the Ústí nad Labem and Karlovy Vary regions before joining the Ohře River.
  • D. Klinovec
    Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
  • E. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • 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: Silnica
Triple: [Kielce, river, Silnica]
Generated description
Silnica is a small river in south-central Poland that flows through the city of Kielce and forms part of its urban landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Silnica
Target entity description: Silnica is a small river in south-central Poland that flows through the city of Kielce and forms part of its urban landscape.
  • A. Lučina
    Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
  • B. Łužica
    Łužica is the Upper Sorbian name for Lusatia, a historical region in Central Europe traditionally inhabited by the West Slavic Sorbian people.
  • C. Blšanka
    Blšanka is a small river in the Czech Republic that flows through the Ústí nad Labem and Karlovy Vary regions before joining the Ohře River.
  • D. Klinovec
    Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
  • E. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84db300c8190a63ac51552f0e9a6 completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06ecf4748190ab2bdd672f4ab14d completed March 21, 2026, 9 p.m.
NEDg Description generation batch_69bf090aa7c88190a66694cec6d6a370 completed March 21, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69bf09d3b8148190b79bdf3cb77000b4 completed March 21, 2026, 9:12 p.m.
Created at: March 20, 2026, 1:52 p.m.