Triple

T17145346
Position Surface form Disambiguated ID Type / Status
Subject Ratu Boko archaeological site E416076 entity
Predicate hasViewOf P854 FINISHED
Object Mount Merapi E22001 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 Merapi | Statement: [Ratu Boko archaeological site, hasViewOf, Mount Merapi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Merapi
Context triple: [Ratu Boko archaeological site, hasViewOf, Mount Merapi]
  • A. Mount Merapi chosen
    Mount Merapi is one of Indonesia’s most active and dangerous stratovolcanoes, located on the island of Java near the city of Yogyakarta.
  • B. Mount Kelud
    Mount Kelud is an active stratovolcano in Indonesia known for its explosive eruptions and significant impact on the surrounding East Java region.
  • C. Galunggung volcano
    Galunggung volcano is an active stratovolcano in West Java, Indonesia, known for its explosive 1982 eruption that significantly disrupted regional air traffic.
  • D. Mount Karangetang
    Mount Karangetang is an active stratovolcano in North Sulawesi, Indonesia, known as one of the country’s most frequently erupting and hazardous volcanoes.
  • E. Sumbing volcano
    Sumbing volcano is a prominent stratovolcano in Central Java, Indonesia, known for its high peak and fertile surrounding agricultural lands.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2da515481909d19e421382eb755 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483158348190abb96b36caaf455a completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:36 a.m.