Triple

T22695901
Position Surface form Disambiguated ID Type / Status
Subject International Space Station E561169 entity
Predicate hasModule P12988 FINISHED
Object Kibo NE NERFINISHED

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 | Statement: [International Space Station, hasModule, Kibo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kibo
Context triple: [International Space Station, hasModule, Kibo]
  • A. Kibo chosen
    Kibo is Japan’s primary science module on the International Space Station, used for a wide range of microgravity experiments and technology demonstrations.
  • B. Mount Kilimanjaro
    Mount Kilimanjaro is a massive dormant stratovolcano in northeastern Tanzania and the tallest mountain in Africa, famed for its snow-capped summit rising above the surrounding savanna.
  • C. Kili
    Kili is a young Dwarf prince of Durin's line and a member of Thorin Oakenshield's company in J.R.R. Tolkien's Middle-earth legendarium.
  • D. Mount Tambuyukon
    Mount Tambuyukon is a high, biodiverse mountain in Sabah, Malaysian Borneo, known for its rich montane ecosystems and rare endemic species.
  • E. Kibo summit crater
    Kibo summit crater is the large volcanic crater at the highest point of Mount Kilimanjaro in Tanzania, forming the mountain’s main summit area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789e05d88190b9d51bb3f8e3e9d4 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:14 p.m.