Triple

T11062001
Position Surface form Disambiguated ID Type / Status
Subject Oslob E261529 entity
Predicate hasTouristAttraction P530 FINISHED
Object Tumalog Falls E905057 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: Tumalog Falls | Statement: [Oslob, hasTouristAttraction, Tumalog Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tumalog Falls
Context triple: [Oslob, hasTouristAttraction, Tumalog Falls]
  • A. Tumalog Falls chosen
    Tumalog Falls is a picturesque curtain-like waterfall near Oslob in Cebu, Philippines, known for its tall, gently cascading waters and natural swimming pools.
  • 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. Tinago Falls
    Tinago Falls is a picturesque waterfall and popular eco-tourism destination on Biliran Island in the Philippines, known for its clear turquoise basin and lush surrounding greenery.
  • E. Tinago Falls
    Tinago Falls is a picturesque multi-tiered waterfall hidden in a deep ravine in Iligan City, Philippines, known for its clear blue basin and lush surrounding greenery.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798ea834c819099401e69f995c59f completed April 9, 2026, 12:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441a5b5a481908a6fdf5f8e9bca8b completed April 19, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:26 p.m.