Triple

T9360632
Position Surface form Disambiguated ID Type / Status
Subject Space Research Institute of RAS E225266 entity
Predicate focusesOn P31 FINISHED
Object the Sun E3186 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: the Sun | Statement: [Space Research Institute of RAS, focusesOn, the Sun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: the Sun
Context triple: [Space Research Institute of RAS, focusesOn, the Sun]
  • A. The Sun
    The Sun is a British tabloid newspaper known for its sensationalist journalism, celebrity gossip, and large circulation.
  • B. The Sun
    The Sun is a vibrant, monumental painting by Norwegian artist Edvard Munch that depicts a radiant, dominating sun over a coastal landscape, symbolizing life, energy, and renewal.
  • C. The Sun
    The Sun is a 2005 historical drama film by Russian director Alexander Sokurov that portrays Emperor Hirohito in the final days of World War II.
  • D. Sun chosen
    The Sun is the massive, luminous star at the center of our solar system that provides the light and heat necessary for life on Earth.
  • E. Sun
    Sun I-hsien is a Taiwanese politician who has served in various governmental roles, including as a legislator.
  • 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4ff4268c819099dd5fe79d93e7ea completed April 1, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3e27cac8190a48393fa4bdff6b8 completed April 4, 2026, 11:20 a.m.
Created at: March 30, 2026, 7:42 p.m.