Triple

T4636640
Position Surface form Disambiguated ID Type / Status
Subject Agno River E101547 entity
Predicate hasTributary P415 FINISHED
Object Camiling River E458919 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: Camiling River | Statement: [Agno River, hasTributary, Camiling River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camiling River
Context triple: [Agno River, hasTributary, Camiling River]
  • A. Ambayaoan River
    Ambayaoan River is a waterway in the Philippines that serves as one of the contributing rivers to the larger Agno River system.
  • B. Tarlac River chosen
    Tarlac River is a significant river in the Philippine province of Tarlac that drains agricultural plains before joining the larger Agno River system.
  • C. Ilagan River
    The Ilagan River is a significant waterway in the Philippines’ Isabela province, known for draining the Sierra Madre mountains and supporting local agriculture and communities before joining the Cagayan River.
  • D. 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.
  • 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_69be4390976c81908ab31c4e25f96064 completed March 21, 2026, 7:06 a.m.
Created at: March 20, 2026, 1:13 p.m.