Triple

T13239301
Position Surface form Disambiguated ID Type / Status
Subject Onyar E315237 entity
Predicate hasMouthIn P1008 FINISHED
Object Ter River E1117018 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: Ter River | Statement: [Onyar, hasMouthIn, Ter River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ter River
Context triple: [Onyar, hasMouthIn, Ter River]
  • A. Ter River chosen
    The Ter River is a significant river in northeastern Catalonia, Spain, flowing from the Pyrenees to the Mediterranean Sea and passing through cities such as Girona.
  • B. Coal River
    Coal River is a river in southern West Virginia known for flowing through Boone County and contributing to the region’s coalfield landscape and history.
  • C. Youngs River
    Youngs River is a coastal river in northwestern Oregon that flows into Youngs Bay near the mouth of the Columbia River.
  • D. Tamesí River
    The Tamesí River is a significant waterway in northeastern Mexico that flows through the states of Tamaulipas and Veracruz before joining the Pánuco River system near the Gulf of Mexico.
  • E. Train River
    The Train River is a smaller watercourse in Belgium that serves as a tributary within the Dyle River basin.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5850ac8190849a51da39efe5be completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9db383cc8190b1c65d202785838a completed May 9, 2026, 2:36 a.m.
Created at: April 9, 2026, 9:23 p.m.