Triple

T4636638
Position Surface form Disambiguated ID Type / Status
Subject Agno River E101547 entity
Predicate hasTributary P415 FINISHED
Object Angalacan River E459799 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: Angalacan River | Statement: [Agno River, hasTributary, Angalacan River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angalacan River
Context triple: [Agno River, hasTributary, Angalacan River]
  • A. Rhumel River
    The Rhumel River is a river in northeastern Algeria that flows through the city of Constantine, carving its famous deep gorges and shaping the city’s dramatic landscape.
  • B. Ambayaoan River chosen
    Ambayaoan River is a waterway in the Philippines that serves as one of the contributing rivers to the larger Agno River system.
  • C. Alingar River
    The Alingar River is a significant river in eastern Afghanistan that flows through mountainous regions including Nuristan Province, supporting local agriculture and settlements along its course.
  • D. Macal River
    The Macal River is a major waterway in western Belize known for its scenic jungle surroundings, wildlife, and role in eco-tourism and outdoor recreation.
  • E. Brenz River
    The Brenz River is a tributary of the Danube in southern Germany that flows through the state of Baden-Württemberg, including the town of Heidenheim an der Brenz.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a62a9e48190b0cf1cbcc51f00c0 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39a767d481908cde49a3ca61c3ac completed March 21, 2026, 6:24 a.m.
Created at: March 20, 2026, 1:13 p.m.