Triple

T10928566
Position Surface form Disambiguated ID Type / Status
Subject Pripyat River E258137 entity
Predicate hasTributary P415 FINISHED
Object Pina River E526565 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: Pina River | Statement: [Pripyat River, hasTributary, Pina River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pina River
Context triple: [Pripyat River, hasTributary, Pina River]
  • A. Pina River chosen
    The Pina River is a watercourse in Belarus that flows through the city of Pinsk and serves as a tributary of the Pripyat River.
  • B. Palancia River
    The Palancia River is a Mediterranean river in eastern Spain that flows through the provinces of Castellón and Valencia before emptying into the sea near Sagunto.
  • C. Arigna River
    The Arigna River is a small river in County Roscommon, Ireland, known for flowing through a historic coal-mining region before entering Lough Allen.
  • D. Cipeles River
    The Cipeles River is a waterway in West Java, Indonesia, that serves as one of the contributing rivers within the Cimanuk River basin.
  • E. Ninfa River
    The Ninfa River is a small watercourse in the Lazio region of Italy that feeds the celebrated medieval garden and nature reserve of Ninfa, renowned for its lush biodiversity and romantic landscape.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7709da23c819096f4bba1cd4ff5cb completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbac706dc4819093f06b368f03fe02 completed May 6, 2026, 9:02 p.m.
Created at: April 8, 2026, 9:22 p.m.