Triple

T8837424
Position Surface form Disambiguated ID Type / Status
Subject Magetan E210300 entity
Predicate near P350 FINISHED
Object Mount Lawu E510802 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 Lawu | Statement: [Magetan, near, Mount Lawu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Lawu
Context triple: [Magetan, near, Mount Lawu]
  • A. Mount Marapi
    Mount Marapi is an active stratovolcano in western Sumatra, Indonesia, known for its frequent eruptions and prominent role in the region’s geology and local culture.
  • B. Mount Sindoro chosen
    Mount Sindoro is an active stratovolcano in Central Java, Indonesia, known for its scenic hiking routes and panoramic views of surrounding volcanic peaks.
  • C. Mount Gede
    Mount Gede is an active stratovolcano in West Java, Indonesia, known for its popular hiking trails, rich biodiversity, and inclusion within the Mount Gede Pangrango National Park.
  • D. Mount Kerinci
    Mount Kerinci is an active stratovolcano in western Indonesia and the highest peak on the island of Sumatra, renowned for its prominence within the Bukit Barisan mountain range and Kerinci Seblat National Park.
  • E. Mount Salak
    Mount Salak is a volcanic mountain in West Java, Indonesia, known for its rugged terrain, frequent mist, and history of aviation accidents.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc606adde08190825dbdabd199c025 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf898a478c81908f138a78f331b87d completed April 3, 2026, 9:34 a.m.
Created at: March 30, 2026, 6:48 p.m.