Triple

T7965664
Position Surface form Disambiguated ID Type / Status
Subject Sale Water Park lake E185196 entity
Predicate locatedIn P40 FINISHED
Object Sale Water Park E185196 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: Sale Water Park | Statement: [Sale Water Park lake, locatedIn, Sale Water Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sale Water Park
Context triple: [Sale Water Park lake, locatedIn, Sale Water Park]
  • A. Sale Water Park
    Sale Water Park is a large recreational country park in Greater Manchester, England, centered around a former gravel pit lake and popular for watersports, walking, and wildlife.
  • B. Sale Water Park lake chosen
    Sale Water Park lake is an artificial recreational lake in Greater Manchester, England, popular for watersports, wildlife, and leisure activities within Sale Water Park.
  • C. Sale Water Park Metrolink stop
    Sale Water Park Metrolink stop is a tram station on Greater Manchester’s Metrolink network serving the Sale Water Park area.
  • D. Waterworks Waterpark
    Waterworks Waterpark is a family-friendly outdoor water park in Dale City, Virginia, featuring pools, slides, and recreational water attractions.
  • E. Water Park
    Water Park is a colorful, amusement-park-themed race course in Mario Kart 8 featuring underwater sections, looping tracks, and vibrant attractions.
  • 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ba262208190887169fe94e47b0e completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63b3ddc8819094f353804504c911 completed April 1, 2026, 12:15 a.m.
Created at: March 30, 2026, 5:12 p.m.