Triple

T13453129
Position Surface form Disambiguated ID Type / Status
Subject Pando Department E311159 entity
Predicate borderFeature P1896 FINISHED
Object Abunã River E609912 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: Abunã River | Statement: [Pando Department, borderFeature, Abunã River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abunã River
Context triple: [Pando Department, borderFeature, Abunã River]
  • A. Abunã River chosen
    The Abunã River is a waterway in western Brazil that forms part of the border with Bolivia and feeds into the larger Madeira River system in the Amazon Basin.
  • B. Abulug River
    Abulug River is a river in northern Luzon in the Philippines, flowing through Cagayan province toward the Babuyan Channel.
  • C. Arga-Sala River
    The Arga-Sala River is a remote Siberian river in Russia that serves as a significant tributary within the Arctic-draining river systems of the region.
  • D. Arasalar River
    The Arasalar River is a distributary of the Kaveri River in Tamil Nadu, India, flowing through the historic temple town of Kumbakonam before reaching the Bay of Bengal.
  • E. Baga River
    Baga River is a small coastal river in North Goa, India, known for flowing through the popular beach and tourist area of Baga before emptying into the Arabian Sea.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaefae85481909e6a59797cbb25e7 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46686c288190a51847f86785568a completed May 8, 2026, 2:11 a.m.
Created at: April 9, 2026, 9:41 p.m.