Triple

T15696914
Position Surface form Disambiguated ID Type / Status
Subject Shira Route E380485 entity
Predicate offersViewOf P3821 FINISHED
Object Kibo 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 cone | Statement: [Shira Route, offersViewOf, Kibo cone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kibo cone
Context triple: [Shira Route, offersViewOf, Kibo 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. Kuju volcano
    Kuju volcano is an active stratovolcanic complex located on Japan’s Kyushu Island, known for its geothermal activity and scenic mountainous landscape.
  • C. 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.
  • D. Mount Hotaka
    Mount Hotaka is a prominent peak in Japan’s Hida Mountains, renowned for its rugged alpine terrain and popularity among climbers and hikers.
  • E. Mount Otemanu
    Mount Otemanu is a dramatic, jagged volcanic peak on the island of Bora Bora in French Polynesia, renowned as an iconic backdrop for the island’s lagoons and resorts.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6c3328819081325b702ca92862 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff87631854819084c20a335119dfcc completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:44 a.m.