Triple

T12287217
Position Surface form Disambiguated ID Type / Status
Subject Valle de Bujaruelo E292860 entity
Predicate hasRiver P165 FINISHED
Object Ara River E1009429 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: Ara River | Statement: [Valle de Bujaruelo, hasRiver, Ara River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ara River
Context triple: [Valle de Bujaruelo, hasRiver, Ara River]
  • A. Ara River chosen
    The Ara River is a mountain river in the central Pyrenees of northern Spain, known for its largely unregulated flow through glacial valleys and its importance to the Aragonese river system.
  • B. Sei River
    The Sei River is a smaller watercourse in western India that feeds into the Sabarmati River within the arid and semi-arid landscape of Rajasthan and Gujarat.
  • C. Kosa River
    The Kosa River is a waterway in Russia that flows through the Perm Krai region as part of the Kama River basin.
  • D. Nen River
    The Nen River is a major river in northeastern China that flows through Heilongjiang and Inner Mongolia, playing a key role in regional agriculture, transportation, and ecology.
  • E. Segama River
    The Segama River is one of the longest and most significant rivers in the Malaysian state of Sabah, known for flowing through rich rainforest and wildlife habitats in eastern Borneo.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d1ffb208190a4b86d7d4ceee045 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5b3ced0819083382a0aceda171a completed May 3, 2026, 7:13 a.m.
Created at: April 8, 2026, 9:52 p.m.