Triple

T5815410
Position Surface form Disambiguated ID Type / Status
Subject Culebra Island E128972 entity
Predicate hasBeach P1922 FINISHED
Object Flamenco Beach E15224 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: Flamenco Beach | Statement: [Culebra Island, hasBeach, Flamenco Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flamenco Beach
Context triple: [Culebra Island, hasBeach, Flamenco Beach]
  • A. Flamenco Beach chosen
    Flamenco Beach is a renowned white-sand, turquoise-water beach on the island of Culebra in Puerto Rico, often ranked among the most beautiful beaches in the world.
  • B. Flamenco Island
    Flamenco Island is a small island off the Pacific coast of Panama City, known for its marina, restaurants, and role as a popular tourist and leisure destination.
  • C. Sugar Beach
    Sugar Beach is a long, sandy shoreline in Kihei, Maui, known for its calm waters, sunset views, and opportunities for walking, paddling, and whale watching.
  • D. Sugar Beach
    Sugar Beach is a popular white-sand beach destination on Bantayan Island in the Philippines, known for its clear waters and relaxed, laid-back atmosphere.
  • E. Silver Sands
    Silver Sands is a popular sandy beach near Aberdour in Fife, Scotland, known for its scenic coastal views and recreational facilities.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0336344148190bcf417c0b9617cb9 completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0984c5f14819096dfabce4a83e332 completed March 23, 2026, 1:33 a.m.
Created at: March 22, 2026, 3:53 p.m.