Triple

T8161846
Position Surface form Disambiguated ID Type / Status
Subject Laguna E190593 entity
Predicate hasLandmark P105 FINISHED
Object Pagsanjan Falls E715378 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: Pagsanjan Falls | Statement: [Laguna, hasLandmark, Pagsanjan Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pagsanjan Falls
Context triple: [Laguna, hasLandmark, Pagsanjan Falls]
  • A. Pagsanjan Falls chosen
    Pagsanjan Falls is a famous multi-tiered waterfall and major tourist attraction in the Philippines, renowned for its scenic gorge and traditional canoe rides through rapids.
  • B. Paraeso Falls
    Paraeso Falls is a scenic waterfall located in Ulju County, Ulsan, South Korea, known for its natural beauty and tranquil forest surroundings.
  • C. Cambugahay Falls
    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.
  • D. Takakkaw Falls
    Takakkaw Falls is one of Canada’s tallest and most spectacular waterfalls, cascading dramatically down a steep cliff in the Canadian Rockies of British Columbia.
  • E. Katibawasan Falls
    Katibawasan Falls is a scenic, towering waterfall on Camiguin Island in the Philippines, known for its clear, cold waters cascading into a natural pool surrounded by lush tropical forest.
  • 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4556b45c819089eb15ad027b036a completed March 31, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced4e6efc8190a74aea4ab213298b completed April 1, 2026, 10:02 a.m.
Created at: March 30, 2026, 5:38 p.m.