Triple

T12130406
Position Surface form Disambiguated ID Type / Status
Subject Baler, Aurora, Philippines E288919 entity
Predicate hasTouristAttraction P530 FINISHED
Object Sabang Beach E715071 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: Sabang Beach | Statement: [Baler, Aurora, Philippines, hasTouristAttraction, Sabang Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabang Beach
Context triple: [Baler, Aurora, Philippines, hasTouristAttraction, Sabang Beach]
  • A. Sabang Beach chosen
    Sabang Beach is a popular surfing destination in Aurora, Philippines, known for its consistent waves and scenic coastal landscape.
  • B. Sabang Beach
    Sabang Beach is a popular coastal tourist destination in Mindoro, Philippines, known for its diving spots, lively nightlife, and access to nearby coral reefs.
  • C. Balok Beach
    Balok Beach is a popular coastal destination near Kuantan in Malaysia, known for its wide sandy shoreline and strong winds that make it a renowned spot for windsurfing and kitesurfing.
  • D. Bunga Beach
    Bunga Beach is a secluded coastal beach in New South Wales, Australia, known for its natural scenery and location within Mimosa Rocks National Park.
  • E. Nambo Beach
    Nambo Beach is a coastal tourist destination in Southeast Sulawesi, Indonesia, known for its white sandy shoreline and clear, calm waters.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158a2c2c8190aaff9d0cce177565 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e48957081909c4598e82ab31e1f completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:49 p.m.