Triple

T18809466
Position Surface form Disambiguated ID Type / Status
Subject Westport, Connecticut E459968 entity
Predicate hasAttraction P105 FINISHED
Object Compo Beach NE NERFINISHED

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: Compo Beach | Statement: [Westport, Connecticut, hasAttraction, Compo Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Compo Beach
Context triple: [Westport, Connecticut, hasAttraction, Compo Beach]
  • A. Compo Beach chosen
    Compo Beach is a popular public shoreline and recreation area on Long Island Sound known for its sandy beach, boardwalk, and family-friendly amenities.
  • B. Moere Beach
    Moere Beach is an artificial beach and water-play area within Sapporo’s Moerenuma Park, designed as a recreational spot for families and children.
  • C. Leven Beach
    Leven Beach is a sandy coastal shoreline in the town of Leven in Fife, Scotland, popular for seaside recreation and scenic views across the Firth of Forth.
  • D. Domes Beach
    Domes Beach is a popular surfing and recreation beach in Rincón, Puerto Rico, known for its strong waves and scenic views near the former nuclear dome facility.
  • E. Llaman Beach
    Llaman Beach is a picturesque, pebbly seaside spot on the Albanian Riviera known for its clear turquoise waters and dramatic coastal scenery.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3db38ec8190ab5bef15bc6789be completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.