Triple

T21354095
Position Surface form Disambiguated ID Type / Status
Subject Pina River E526565 entity
Predicate hasNameInLanguage P15 FINISHED
Object Піна
Піна — річка у Східній Європі, притока Мухавця, що протікає територією Білорусі.
 E1479819 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: Піна | Statement: [Pina River, hasNameInLanguage, Піна]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Піна
Context triple: [Pina River, hasNameInLanguage, Піна]
  • A. Pierina
    Pierina is an Italian feminine given name, notably borne by the celebrated ballerina Pierina Legnani.
  • B. Pirinoa
    Pirinoa is a small rural settlement in New Zealand’s Wairarapa region, known for its farming community and proximity to Lake Ferry and Cape Palliser.
  • C. Paupisi
    Paupisi is a small Italian municipality located in the Campania region, known for its rural character and proximity to the city of Benevento.
  • D. Papianilla
    Papianilla was a Gallo-Roman noblewoman of the 5th century, best known as the wife of the poet, diplomat, and bishop Sidonius Apollinaris.
  • E. Pinara
    Pinara was an important ancient Lycian city in southwestern Anatolia, known for its rock-cut tombs and well-preserved ruins.
  • 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: Піна
Triple: [Pina River, hasNameInLanguage, Піна]
Generated description
Піна — річка у Східній Європі, притока Мухавця, що протікає територією Білорусі.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Піна
Target entity description: Піна — річка у Східній Європі, притока Мухавця, що протікає територією Білорусі.
  • A. Pierina
    Pierina is an Italian feminine given name, notably borne by the celebrated ballerina Pierina Legnani.
  • B. Pirinoa
    Pirinoa is a small rural settlement in New Zealand’s Wairarapa region, known for its farming community and proximity to Lake Ferry and Cape Palliser.
  • C. Paupisi
    Paupisi is a small Italian municipality located in the Campania region, known for its rural character and proximity to the city of Benevento.
  • D. Papianilla
    Papianilla was a Gallo-Roman noblewoman of the 5th century, best known as the wife of the poet, diplomat, and bishop Sidonius Apollinaris.
  • E. Pinara
    Pinara was an important ancient Lycian city in southwestern Anatolia, known for its rock-cut tombs and well-preserved ruins.
  • 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.