Triple

T5408493
Position Surface form Disambiguated ID Type / Status
Subject Wast Water E120950 entity
Predicate nameVariant P744 FINISHED
Object Wastwater E120950 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: Wastwater | Statement: [Wast Water, nameVariant, Wastwater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wastwater
Context triple: [Wast Water, nameVariant, Wastwater]
  • A. Wast Water chosen
    Wast Water is a deep, glacial lake in England’s Lake District, renowned for its dramatic surrounding peaks and remote, rugged scenery.
  • B. Achterwasser
    Achterwasser is a coastal lagoon on the German island of Usedom, connected to the Baltic Sea and known for its shallow waters and scenic natural surroundings.
  • C. Lightwater
    Lightwater is a village and civil parish in the English county of Surrey, known for its residential character and proximity to heathland and countryside.
  • D. River Suck
    River Suck is a major river in western Ireland that flows through counties such as Roscommon and Galway before joining the River Shannon.
  • E. Old Water
    Old Water is a minor river in northern England that serves as one of the tributaries feeding into the River Eden.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8794e0c4819082bebf2da5e41201 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3aa0b00c8190aab3e475e19c3276 completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:05 p.m.