Triple

T4335979
Position Surface form Disambiguated ID Type / Status
Subject Water of Lee E97463 entity
Predicate hasName P744 FINISHED
Object Water of Lee E97463 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: Water of Lee | Statement: [Water of Lee, hasName, Water of Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Water of Lee
Context triple: [Water of Lee, hasName, Water of Lee]
  • A. Water of Lee chosen
    Water of Lee is a tributary stream of the North Esk River in Scotland, known for flowing through rural landscapes before joining the main river.
  • B. Luggie Water
    Luggie Water is a small river in central Scotland that flows through North Lanarkshire, including the town of Coatbridge, before joining the River Kelvin.
  • C. The Long Water
    The Long Water is a picturesque ornamental lake in London's Kensington Gardens, forming the western half of the Serpentine.
  • D. Cattewater
    Cattewater is a tidal estuary and anchorage forming part of the harbor area at Plymouth on the south coast of England.
  • E. Douglas Water
    Douglas Water is a river in South Lanarkshire, Scotland, that lends its name to the surrounding Douglasdale area.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3516af43081908393fd0dad3d9382 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0a9967481908828ceeb76ce4cbf completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:14 p.m.