Triple

T10858214
Position Surface form Disambiguated ID Type / Status
Subject Metrolink Airport line E256323 entity
Predicate via P5680 FINISHED
Object Sale Water Park E185195 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: [Metrolink Airport line, via, Sale Water Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sale Water Park
Context triple: [Metrolink Airport line, via, Sale Water Park]
  • A. Sale Water Park lake
    Sale Water Park lake is an artificial recreational lake in Greater Manchester, England, popular for watersports, wildlife, and leisure activities within Sale Water Park.
  • B. Sale Water Park Metrolink stop chosen
    Sale Water Park Metrolink stop is a tram station on Greater Manchester’s Metrolink network serving the Sale Water Park area.
  • C. Waterworks Waterpark
    Waterworks Waterpark is a family-friendly outdoor water park in Dale City, Virginia, featuring pools, slides, and recreational water attractions.
  • D. Water Park
    Water Park is a colorful, amusement-park-themed race course in Mario Kart 8 featuring underwater sections, looping tracks, and vibrant attractions.
  • E. Splish Splash water park
    Splish Splash water park is a popular family-friendly water park on Long Island known for its variety of water slides, wave pools, and themed 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751377da88190a7244bb9d6b0c2ec completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb1a0a9188190be0e9677884f3e93 completed April 14, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:20 p.m.