Triple

T7362463
Position Surface form Disambiguated ID Type / Status
Subject Ende E169783 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Mount Kelimutu E169784 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 Kelimutu | Statement: [Ende, hasNearbyAttraction, Mount Kelimutu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Kelimutu
Context triple: [Ende, hasNearbyAttraction, Mount Kelimutu]
  • A. Mount Kelimutu chosen
    Mount Kelimutu is a volcano on the Indonesian island of Flores famous for its three strikingly colored crater lakes that periodically change hues due to volcanic activity and mineral content.
  • B. Mount Ijen
    Mount Ijen is an active volcano in Indonesia famed for its striking turquoise crater lake and rare electric-blue sulfur flames.
  • C. Mount Salak
    Mount Salak is a volcanic mountain in West Java, Indonesia, known for its rugged terrain, frequent mist, and history of aviation accidents.
  • D. Mount Batur
    Mount Batur is an active stratovolcano in northeastern Bali, Indonesia, known for its scenic caldera lake and popular sunrise treks.
  • E. Mount Tapochau
    Mount Tapochau is the highest peak on the island of Saipan in the Northern Mariana Islands, known for its panoramic views and World War II historical significance.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f15f218081909b5cc7a8cc695055 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802b90cc081908b15e61921d15b92 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 3:06 p.m.