Triple

T10159955
Position Surface form Disambiguated ID Type / Status
Subject River Arrow E233861 entity
Predicate hasName P744 FINISHED
Object River Arrow E233861 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: River Arrow | Statement: [River Arrow, hasName, River Arrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Arrow
Context triple: [River Arrow, hasName, River Arrow]
  • A. River Arrow chosen
    The River Arrow is a small river in the Welsh Marches of the United Kingdom, flowing through Herefordshire and Powys and joining the River Lugg.
  • B. River Perry
    River Perry is a small river in Shropshire, England, that flows through the county’s rural landscape before joining the River Severn.
  • C. Riverbank
    Riverbank is a small city in California’s Central Valley known for its agricultural surroundings and suburban residential character.
  • D. River Fleet
    The River Fleet is one of London's historic subterranean rivers, now largely culverted and flowing unseen beneath the city into the River Thames.
  • E. Flatland River
    Flatland River is a painting by American artist Wayne Thiebaud, known for its stylized depiction of expansive, geometric landscapes rendered in his characteristic vivid palette and thick impasto.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec5831e481909b48fdfa8f1c670b completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300b7b3108190a8e7581193c322be completed April 6, 2026, 12:39 a.m.
Created at: March 30, 2026, 9:09 p.m.