Triple

T2429371
Position Surface form Disambiguated ID Type / Status
Subject Anjuna Beach E52805 entity
Predicate near P350 FINISHED
Object Baga Beach E257294 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: Baga Beach | Statement: [Anjuna Beach, near, Baga Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baga Beach
Context triple: [Anjuna Beach, near, Baga Beach]
  • A. Baga Beach chosen
    Baga Beach is a popular coastal destination in North Goa, India, known for its vibrant nightlife, water sports, and lively shacks along the shoreline.
  • B. Agiba Beach
    Agiba Beach is a picturesque, secluded cove on Egypt’s Mediterranean coast near Marsa Matruh, known for its clear turquoise waters and dramatic rocky cliffs.
  • C. Leme Beach
    Leme Beach is a quieter, more residential extension of Rio de Janeiro’s famous beachfront, known for its relaxed atmosphere and scenic views at the northern end of the Copacabana shoreline.
  • D. Dueodde Beach
    Dueodde Beach is a famous sandy beach on the southern tip of the Danish island of Bornholm, known for its ultra-fine white sand and clear, shallow waters.
  • E. Patenga Beach
    Patenga Beach is a popular seaside tourist spot near the port city of Chittagong in southeastern Bangladesh, known for its coastal views and proximity to the Bay of Bengal.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc99e1b548190aca9a0ba72a9b0f7 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0a5fc208190a2479de4b1344759 completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:43 p.m.