Triple

T12150536
Position Surface form Disambiguated ID Type / Status
Subject Santa Fe, Cebu E289439 entity
Predicate hasTouristAttraction P530 FINISHED
Object Kota Beach E498607 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: Kota Beach | Statement: [Santa Fe, Cebu, hasTouristAttraction, Kota Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kota Beach
Context triple: [Santa Fe, Cebu, hasTouristAttraction, Kota Beach]
  • A. Kota Beach chosen
    Kota Beach is a popular white-sand beach on Bantayan Island in the Philippines, known for its clear turquoise waters and relaxed island atmosphere.
  • B. Baina Beach
    Baina Beach is a popular coastal stretch in Goa, India, known for its scenic shoreline, water sports, and proximity to the port town of Vasco da Gama.
  • C. San San Beach
    San San Beach is a picturesque white-sand beach and popular swimming spot on Jamaica’s northeastern coast, known for its calm turquoise waters and nearby islets.
  • D. Matras Beach
    Matras Beach is a popular white-sand coastal destination on Bangka Island in Indonesia, known for its gentle waves, granite boulders, and relaxed seaside atmosphere.
  • E. Juhu Beach
    Juhu Beach is a popular and expansive seaside destination in Mumbai, India, known for its lively atmosphere, street food stalls, and views of the Arabian Sea.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ae736c8190aaab05efb93c5854 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a80aa6881908111cc47b5fe8b9e completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:49 p.m.