Triple

T8924481
Position Surface form Disambiguated ID Type / Status
Subject Battle of the Rubicon E212505 entity
Predicate hasLocation P40 FINISHED
Object Rubicon River E194651 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: Rubicon River | Statement: [Battle of the Rubicon, hasLocation, Rubicon River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rubicon River
Context triple: [Battle of the Rubicon, hasLocation, Rubicon River]
  • A. Rubicon River chosen
    The Rubicon River is a small river in northern Italy historically famous as the boundary Julius Caesar crossed in 49 BCE, symbolizing a point of no return.
  • B. Segre River
    The Segre River is a significant river in northeastern Spain that flows through the Pyrenees and Catalonia before joining the Ebro River.
  • C. Sym River
    The Sym River is a significant waterway in central Siberia that flows through the Krasnoyarsk Krai region of Russia.
  • D. Cavalla River
    The Cavalla River is a major West African river that forms much of the border between Liberia and Côte d'Ivoire before flowing into the Atlantic Ocean.
  • E. Paterson River
    The Paterson River is a significant waterway in New South Wales, Australia, flowing through rural landscapes and contributing to the Hunter River catchment.
  • 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_69ca839481d48190b42b037e0d0f636c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66547de881909ea9bfd104b32893 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba5480d48190bf126caaa882d39e completed April 3, 2026, 1:02 p.m.
Created at: March 30, 2026, 6:57 p.m.