Triple

T15806410
Position Surface form Disambiguated ID Type / Status
Subject Gaeta E383226 entity
Predicate hasBeach P1922 FINISHED
Object Serapo Beach E801088 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: Serapo Beach | Statement: [Gaeta, hasBeach, Serapo Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serapo Beach
Context triple: [Gaeta, hasBeach, Serapo Beach]
  • A. Serapo Beach chosen
    Serapo Beach is a popular sandy seaside destination in Gaeta, Italy, known for its clear waters, scenic coastal views, and vibrant summer tourism.
  • B. Manaíra Beach
    Manaíra Beach is a popular urban beach in João Pessoa, Brazil, known for its calm waters, seaside promenade, and vibrant mix of restaurants, bars, and hotels along the waterfront.
  • C. Matira Beach
    Matira Beach is a renowned white-sand beach on the island of Bora Bora in French Polynesia, famous for its crystal-clear lagoon waters and stunning sunsets.
  • D. Serasa Beach
    Serasa Beach is a popular coastal recreation area in Brunei known for its sandy shoreline, water sports, and seaside leisure facilities.
  • E. Postiguet Beach
    Postiguet Beach is a popular urban sandy beach on the Mediterranean coast, located at the foot of Santa Bárbara Castle in the Spanish city of Alicante.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52682548190998d8b6a08982877 completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbbff15c81909cb148a33b51a16e completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:48 a.m.