Triple

T15599915
Position Surface form Disambiguated ID Type / Status
Subject Shira Plateau E375003 entity
Predicate viewOf P854 FINISHED
Object Kibo summit cone E312465 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: Kibo summit cone | Statement: [Shira Plateau, viewOf, Kibo summit cone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kibo summit cone
Context triple: [Shira Plateau, viewOf, Kibo summit cone]
  • A. Kibo summit crater chosen
    Kibo summit crater is the large volcanic crater at the highest point of Mount Kilimanjaro in Tanzania, forming the mountain’s main summit area.
  • B. Kibo
    Kibo is Japan’s primary science module on the International Space Station, used for a wide range of microgravity experiments and technology demonstrations.
  • C. Mount Mikeno
    Mount Mikeno is a steep, glaciated stratovolcano in the Virunga Mountains of the Democratic Republic of the Congo, known for its rugged terrain and proximity to endangered mountain gorilla habitats.
  • D. Mount Kiematubu
    Mount Kiematubu is a volcanic peak that forms the highest point on the Indonesian island of Tidore in the Maluku Islands.
  • E. Mount Kisokoma
    Mount Kisokoma is a prominent alpine peak in Japan’s Central Alps, known for its scenic highland landscapes and popular hiking routes.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e621fc4819097e8e85e7ddfdc6c completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff75655c948190aa1afa424e5270d1 completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 4:12 a.m.