Triple

T19319270
Position Surface form Disambiguated ID Type / Status
Subject Von Kármán (lunar crater) E483175 entity
Predicate observedBy P1165 FINISHED
Object Kaguya (SELENE) 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: Kaguya (SELENE) | Statement: [Von Kármán (lunar crater), observedBy, Kaguya (SELENE)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaguya (SELENE)
Context triple: [Von Kármán (lunar crater), observedBy, Kaguya (SELENE)]
  • A. Kaguya chosen
    Kaguya is a Japanese lunar orbiter mission by JAXA that conducted detailed mapping and scientific investigation of the Moon’s surface and gravitational field.
  • B. Princess Kaguya
    Princess Kaguya is the moon princess from the classic Japanese folktale "The Tale of the Bamboo Cutter," renowned as one of Japan’s oldest and most famous literary works.
  • C. Suisei
    Suisei was a World War II-era Japanese dive bomber aircraft, formally designated the Yokosuka D4Y and used primarily by the Imperial Japanese Navy.
  • D. Shizumanu Taiyō
    Shizumanu Taiyō is a Japanese drama film, based on Toyoko Yamasaki’s novel, that explores corporate corruption and personal integrity within a national airline.
  • E. Asahi-hime
    Asahi-hime was a Japanese noblewoman of the late Sengoku period, known for her politically significant marriage into the Tokugawa clan that helped secure alliances during Japan’s unification.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d868dd48190b1439a5f4ff58c48 completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.