Triple

T11549926
Position Surface form Disambiguated ID Type / Status
Subject Selenga River E273863 entity
Predicate tributary P415 FINISHED
Object Tuul River E269381 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: Tuul River | Statement: [Selenga River, tributary, Tuul River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuul River
Context triple: [Selenga River, tributary, Tuul River]
  • A. Tuul River chosen
    The Tuul River is a major river in central Mongolia that flows through the capital city, Ulaanbaatar, and plays an important role in the region’s ecology and water supply.
  • B. Uono River
    The Uono River is a river in Niigata Prefecture, Japan, that flows through the Uonuma region before joining the Shinano River.
  • C. Olza River
    The Olza River is a Central European river that flows through the historical region of Cieszyn Silesia, forming part of the border between Poland and the Czech Republic.
  • D. Limmat River
    The Limmat River is a major Swiss waterway that flows out of Lake Zurich and runs through the city of Zurich before joining the Aare River.
  • E. Stör River
    The Stör River is a watercourse in northern Germany that drains Lake Schwerin and flows through Mecklenburg-Vorpommern before joining larger river systems.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d886e615b08190a072924329a94a6a completed April 10, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff288ba908190a36c4784331d1e60 completed May 10, 2026, 2:50 a.m.
Created at: April 8, 2026, 9:37 p.m.