Triple

T5834037
Position Surface form Disambiguated ID Type / Status
Subject Subingen E129421 entity
Predicate locatedOnRiver P165 FINISHED
Object Emme River E240456 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: Emme River | Statement: [Subingen, locatedOnRiver, Emme River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emme River
Context triple: [Subingen, locatedOnRiver, Emme River]
  • A. Emme River chosen
    The Emme River is a Swiss river flowing through the Emmental region and the Swiss Plateau, known for its picturesque valleys and historical flooding events.
  • B. Nevėžis River
    The Nevėžis River is one of Lithuania’s major rivers, flowing through the central part of the country and playing an important role in its regional landscape and settlements.
  • C. Kako River
    The Kako River is a river in Japan whose name was used for the Imperial Japanese Navy cruiser Kako.
  • D. Siang River
    The Siang River is a major river in northeastern India that forms the upper course of the Brahmaputra as it flows from Tibet into Arunachal Pradesh.
  • E. Neches River
    The Neches River is a major waterway in eastern Texas that flows from near Tyler to the Gulf of Mexico, supporting regional ecosystems, industry, and recreation.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0346e6e9c8190a245e5d10595a68f completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d583f75c819083cb0dcdf265d735 completed April 5, 2026, 3:22 a.m.
Created at: March 22, 2026, 3:54 p.m.