Triple

T12546822
Position Surface form Disambiguated ID Type / Status
Subject Merkys River E299990 entity
Predicate hasTributary P415 FINISHED
Object Ūla River E1232790 NE FINISHED

How this triple was built (2 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: Ūla River | Statement: [Merkys River, hasTributary, Ūla River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ūla River
Context triple: [Merkys River, hasTributary, Ūla River]
  • A. Vaivase River
    Vaivase River is a waterway in Samoa that flows through the area of Apia, contributing to the capital’s local watershed and landscape.
  • B. Uliastai River
    The Uliastai River is a Mongolian waterway that serves as one of the tributaries feeding the Tuul River system.
  • C. Lielupe River
    The Lielupe River is a major river in Latvia that flows through the country’s central lowlands before emptying into the Gulf of Riga in the Baltic Sea.
  • D. Pinega River
    The Pinega River is a major waterway in northern Russia known for its scenic karst landscapes, caves, and role as a tributary of the Northern Dvina.
  • E. Šalčia River chosen
    The Šalčia River is a smaller river in southeastern Lithuania that flows through forested and rural areas before joining the Merkys River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95481ba28819099f7cd2de02e8837 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01792dc0b08190a0871959ce752313 completed May 11, 2026, 6:37 a.m.
Created at: April 8, 2026, 9:57 p.m.