Triple

T4598022
Position Surface form Disambiguated ID Type / Status
Subject OCT East E100250 entity
Predicate near P350 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: [OCT East, near, Dameisha Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dameisha Beach
Context triple: [OCT East, near, 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. 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.
  • D. Llaman Beach
    Llaman Beach is a picturesque, pebbly seaside spot on the Albanian Riviera known for its clear turquoise waters and dramatic coastal scenery.
  • E. Tura Beach
    Tura Beach is a coastal town on the Sapphire Coast of New South Wales, Australia, known for its residential golf course estate and beaches overlooking the Pacific Ocean.
  • 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59420c108190b5c2c5039e964da5 completed March 20, 2026, 2:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69be102049d481908743d66f76905c69 completed March 21, 2026, 3:27 a.m.
Created at: March 20, 2026, 1:11 p.m.