Triple

T22651227
Position Surface form Disambiguated ID Type / Status
Subject Lazi E559097 entity
Predicate hasTouristAttraction P530 FINISHED
Object Cambugahay Falls NE NERFINISHED

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: Cambugahay Falls | Statement: [Lazi, hasTouristAttraction, Cambugahay Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cambugahay Falls
Context triple: [Lazi, hasTouristAttraction, Cambugahay Falls]
  • A. Cambugahay Falls chosen
    Cambugahay Falls is a multi-tiered waterfall with turquoise pools and rope swings on Siquijor Island in the Philippines, popular for swimming and nature excursions.
  • B. Kalubihon Falls
    Kalubihon Falls is a scenic multi-tiered waterfall and natural swimming spot in Iligan City, Philippines, known for its clear turquoise waters and lush surrounding rock formations.
  • C. Malabsay Falls
    Malabsay Falls is a scenic natural waterfall and popular eco-tourism destination located near Mount Isarog in Camarines Sur, Philippines.
  • D. Paraeso Falls
    Paraeso Falls is a scenic waterfall located in Ulju County, Ulsan, South Korea, known for its natural beauty and tranquil forest surroundings.
  • E. Hindang Falls
    Hindang Falls is a scenic waterfall renowned as one of the notable natural attractions in the so-called "City of Majestic Waterfalls."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703c5538819089d9b5349f26ea6d completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:06 p.m.