Triple

T21383527
Position Surface form Disambiguated ID Type / Status
Subject Białogard E527426 entity
Predicate hasRiver P165 FINISHED
Object Parsęta
Parsęta is a river in northwestern Poland that flows through towns such as Białogard before emptying into the Baltic Sea.
E1481368 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: Parsęta | Statement: [Białogard, hasRiver, Parsęta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parsęta
Context triple: [Białogard, hasRiver, Parsęta]
  • A. Prienai
    Prienai is a small town in central Lithuania known for its location along the Nemunas River and its local basketball tradition.
  • B. Riudoms
    Riudoms is a municipality in the Baix Camp comarca of Catalonia, Spain, known for its agricultural traditions and historic rural character.
  • C. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • D. Balta
    Balta is a city that gained historical significance as a strategic location captured during the Uman–Botoșani offensive in World War II.
  • E. Sakiai
    Sakiai is a small town in southwestern Lithuania known for its proximity to the Russian and Polish borders and its role as a local administrative and cultural center.
  • 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: Parsęta
Triple: [Białogard, hasRiver, Parsęta]
Generated description
Parsęta is a river in northwestern Poland that flows through towns such as Białogard before emptying into the Baltic Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Parsęta
Target entity description: Parsęta is a river in northwestern Poland that flows through towns such as Białogard before emptying into the Baltic Sea.
  • A. Prienai
    Prienai is a small town in central Lithuania known for its location along the Nemunas River and its local basketball tradition.
  • B. Riudoms
    Riudoms is a municipality in the Baix Camp comarca of Catalonia, Spain, known for its agricultural traditions and historic rural character.
  • C. Łeba
    Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
  • D. Balta
    Balta is a city that gained historical significance as a strategic location captured during the Uman–Botoșani offensive in World War II.
  • E. Sakiai
    Sakiai is a small town in southwestern Lithuania known for its proximity to the Russian and Polish borders and its role as a local administrative and cultural center.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0f05278819096c511035ffc9777 completed April 22, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09b426553881909477ea3902819672 completed May 17, 2026, 12:27 p.m.
NEDg Description generation batch_6a09b5e6d1ac8190aeec88859d17d257 completed May 17, 2026, 12:34 p.m.
NED2 Entity disambiguation (via description) batch_6a09b699fef081909797a5fc50814cb9 completed May 17, 2026, 12:37 p.m.
Created at: April 16, 2026, 5:12 p.m.