Triple

T17169045
Position Surface form Disambiguated ID Type / Status
Subject Assa River valley E416680 entity
Predicate drainedBy P165 FINISHED
Object Assa River NE NERFINISHED

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: Assa River | Statement: [Assa River valley, drainedBy, Assa River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Assa River
Context triple: [Assa River valley, drainedBy, Assa River]
  • A. Assa River chosen
    The Assa River is a mountain river in the North Caucasus that flows through parts of Georgia and Russia before joining the Terek River.
  • B. Assa River
    The Assa River is a waterway in the North Caucasus region that flows through parts of Russia and Georgia before joining the Sunzha River.
  • C. Tembesi River
    The Tembesi River is a major river in the Indonesian province of Jambi on the island of Sumatra, serving as an important waterway for the region’s ecology and local communities.
  • D. Siffu River
    Siffu River is a significant waterway in the Cagayan Valley region of the Philippines, contributing to local agriculture, ecosystems, and settlements.
  • E. Songo River
    The Songo River is a waterway in southwestern Maine that connects Long Lake to Sebago Lake and is known for its scenic, recreational boating route.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f9173ee48190bc46622c78479603 completed April 18, 2026, 9:35 p.m.
Created at: April 10, 2026, 5:37 a.m.