Triple

T16125018
Position Surface form Disambiguated ID Type / Status
Subject Camarines Sur E391245 entity
Predicate hasTouristAttraction P530 FINISHED
Object Mount Iriga E598326 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: Mount Iriga | Statement: [Camarines Sur, hasTouristAttraction, Mount Iriga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Iriga
Context triple: [Camarines Sur, hasTouristAttraction, Mount Iriga]
  • A. Mount Isarog chosen
    Mount Isarog is a prominent, forested stratovolcano in the Bicol Region of southern Luzon in the Philippines, known for its rich biodiversity and hiking trails.
  • B. Mount Arayat
    Mount Arayat is a prominent inactive stratovolcano and pilgrimage site rising from the plains of Pampanga in Central Luzon, Philippines.
  • C. Mount Iraya
    Mount Iraya is an active stratovolcano on Batan Island in the northern Philippines, known for its prominent peak and cultural significance to local indigenous communities.
  • D. Mount Buko
    Mount Buko is a prominent mountain in Japan’s Saitama Prefecture, known for its limestone quarrying and scenic hiking trails overlooking the Chichibu region.
  • E. Mount Binaiya
    Mount Binaiya is the highest mountain on the Indonesian island of Seram, known for its rugged terrain and rich biodiversity.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020408a88190bf3dfc893d577c55 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000ec7cc0881909685923113eaba25 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5 a.m.