Triple

T2524899
Position Surface form Disambiguated ID Type / Status
Subject Manchester-by-the-Sea, Massachusetts E56010 entity
Predicate hasBeach P1922 FINISHED
Object White Beach E181609 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: White Beach | Statement: [Manchester-by-the-Sea, Massachusetts, hasBeach, White Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Beach
Context triple: [Manchester-by-the-Sea, Massachusetts, hasBeach, White Beach]
  • A. White Beach chosen
    White Beach is a small coastal beach in the town of Manchester-by-the-Sea, Massachusetts, known for its scenic shoreline and tranquil atmosphere.
  • B. Lara Beach
    Lara Beach is a popular, long sandy resort beach on Turkey’s Mediterranean coast, known for its luxury hotels and proximity to the city of Antalya.
  • C. Labadi Beach
    Labadi Beach is one of Ghana’s most popular and lively coastal beaches, known for its vibrant nightlife, music, and cultural events near Accra.
  • D. Baga Beach
    Baga Beach is a popular coastal destination in North Goa, India, known for its vibrant nightlife, water sports, and lively shacks along the shoreline.
  • E. Kiva Beach
    Kiva Beach is a scenic, dog-friendly shoreline on the south shore of Lake Tahoe known for its sandy beach, mountain views, and relatively uncrowded, natural setting.
  • 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_69ab4a48e4f081908f1218d244608659 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd252f1c88190ac93604542f80f49 completed March 7, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2bacd4108190980b32c9fa302a72 completed March 9, 2026, 8:21 p.m.
Created at: March 6, 2026, 9:46 p.m.