Triple

T12499161
Position Surface form Disambiguated ID Type / Status
Subject Sipalay E298770 entity
Predicate hasTouristAttraction P530 FINISHED
Object Sugar Beach E498606 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: Sugar Beach | Statement: [Sipalay, hasTouristAttraction, Sugar Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sugar Beach
Context triple: [Sipalay, hasTouristAttraction, Sugar Beach]
  • A. 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.
  • B. Sugar Beach chosen
    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.
  • C. Sugar Beach
    Sugar Beach is a popular urban beach park on Toronto’s waterfront known for its white sand, pink umbrellas, and views of Lake Ontario.
  • D. Secret Beach
    Secret Beach is a small, secluded cove along the rugged southern Oregon coast, known for its dramatic sea stacks, tide pools, and scenic views accessible by a short, unofficial trail.
  • E. Secret Beach
    Secret Beach is a secluded, picturesque stretch of sand on Nusa Ceningan in Bali, known for its clear turquoise water, rocky cliffs, and relatively quiet, off-the-beaten-path atmosphere.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfa98348190b9ac164ecdada6fe completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb131608190b34a07a7026b160e completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.