Triple

T21354094
Position Surface form Disambiguated ID Type / Status
Subject Pina River E526565 entity
Predicate hasNameInLanguage P15 FINISHED
Object Pina
Pina is the Belarusian name of the Pina River, a waterway in southwestern Belarus that flows through the city of Pinsk and connects to the Pripyat River.
 E1479818 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: Pina | Statement: [Pina River, hasNameInLanguage, Pina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pina
Context triple: [Pina River, hasNameInLanguage, Pina]
  • A. Pina
    Pina is a coastal neighborhood and beach area in the city of Recife, Brazil, known for its urban shoreline and proximity to the city’s commercial districts.
  • B. Pina
    Pina is a Spanish surname most notably associated with Álex Pina, the television producer and creator behind the hit series "La Casa de Papel" ("Money Heist").
  • C. Pina
    Pina is a 2011 3D documentary film by Wim Wenders that pays tribute to the life and work of German choreographer Pina Bausch through performances by her dance company.
  • D. Pina Cei
    Pina Cei was an Italian actress known for her character roles in mid-20th-century Italian cinema and theater.
  • E. Danzé
    Danzé is a small commune in central France, located in the Loir-et-Cher department within the Centre-Val de Loire region.
  • 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: Pina
Triple: [Pina River, hasNameInLanguage, Pina]
Generated description
Pina is the Belarusian name of the Pina River, a waterway in southwestern Belarus that flows through the city of Pinsk and connects to the Pripyat River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pina
Target entity description: Pina is the Belarusian name of the Pina River, a waterway in southwestern Belarus that flows through the city of Pinsk and connects to the Pripyat River.
  • A. Pina
    Pina is a coastal neighborhood and beach area in the city of Recife, Brazil, known for its urban shoreline and proximity to the city’s commercial districts.
  • B. Pina
    Pina is a Spanish surname most notably associated with Álex Pina, the television producer and creator behind the hit series "La Casa de Papel" ("Money Heist").
  • C. Pina
    Pina is a 2011 3D documentary film by Wim Wenders that pays tribute to the life and work of German choreographer Pina Bausch through performances by her dance company.
  • D. Pina Cei
    Pina Cei was an Italian actress known for her character roles in mid-20th-century Italian cinema and theater.
  • E. Danzé
    Danzé is a small commune in central France, located in the Loir-et-Cher department within the Centre-Val de Loire region.
  • 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8af9aa9508190b756cc8e07084c8e completed April 22, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09ad6361b881908db56803d3109bf4 completed May 17, 2026, 11:58 a.m.
NEDg Description generation batch_6a09adf244d481908bb02f99844f1cd0 completed May 17, 2026, noon
NED2 Entity disambiguation (via description) batch_6a09ae91d9cc8190a677124f1a0e1e4e completed May 17, 2026, 12:03 p.m.
Created at: April 16, 2026, 5:05 p.m.