Triple

T184886
Position Surface form Disambiguated ID Type / Status
Subject Java E3958 entity
Predicate highestPoint P210 FINISHED
Object Mount Semeru E24386 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 Semeru | Statement: [Java, highestPoint, Mount Semeru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Semeru
Context triple: [Java, highestPoint, Mount Semeru]
  • A. Mount Semeru chosen
    Mount Semeru is the highest and one of the most active volcanoes on the Indonesian island of Java, renowned for its frequent eruptions and prominent conical peak.
  • B. Mount Rinjani
    Mount Rinjani is an active stratovolcano on the island of Lombok known for its large caldera lake, challenging trekking routes, and significant cultural and geological importance.
  • C. Mount Bromo
    Mount Bromo is an active and highly popular volcano in East Java, Indonesia, renowned for its dramatic crater landscape and sunrise views within the Tengger caldera.
  • D. Mount Merapi
    Mount Merapi is one of Indonesia’s most active and dangerous stratovolcanoes, located on the island of Java near the city of Yogyakarta.
  • E. Tangkuban Perahu
    Tangkuban Perahu is a popular stratovolcano in West Java, Indonesia, known for its distinctive boat-like shape and easily accessible craters.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a2592867108190b5d316c055575449 completed Feb. 28, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3161ab0548190b4c0ed74a79cea46 completed Feb. 28, 2026, 4:21 p.m.
Created at: Feb. 28, 2026, 2:40 a.m.