Triple

T5218945
Position Surface form Disambiguated ID Type / Status
Subject Yantian District E117820 entity
Predicate hasFeature P182 FINISHED
Object Dameisha Beach E118307 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: Dameisha Beach | Statement: [Yantian District, hasFeature, Dameisha Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dameisha Beach
Context triple: [Yantian District, hasFeature, Dameisha Beach]
  • A. Dameisha Beach chosen
    Dameisha Beach is a popular seaside resort area in Shenzhen, China, known for its long sandy shoreline, swimming, and coastal recreation.
  • B. Tingley Beach
    Tingley Beach is a popular Albuquerque recreation area along the Rio Grande featuring fishing ponds, walking and biking trails, and wildlife viewing.
  • C. Meireles Beach
    Meireles Beach is a popular urban beachfront in Fortaleza, Brazil, known for its lively promenade, hotels, restaurants, and vibrant nightlife along the Atlantic coast.
  • D. Valtos Beach
    Valtos Beach is a popular sandy and pebbly seaside destination near Parga in northwestern Greece, known for its clear waters and scenic coastal landscape.
  • 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 (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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a96d49c8190a58726a57edebdcc completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf28faec0081909ed017ee7514ced2 completed March 21, 2026, 11:25 p.m.
Created at: March 20, 2026, 1:48 p.m.