Triple

T17359430
Position Surface form Disambiguated ID Type / Status
Subject 25143 Itokawa E422028 entity
Predicate orbits P2015 FINISHED
Object Sun NE ONNED1

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: Sun | Statement: [25143 Itokawa, orbits, Sun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sun
Context triple: [25143 Itokawa, orbits, Sun]
  • A. 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.
  • B. Sun
    Sun is a common Chinese surname borne by numerous historical figures, including emperors, generals, and scholars.
  • C. Sun
    Sun I-hsien is a Taiwanese politician who has served in various governmental roles, including as a legislator.
  • D. Sun
    Sun is a 2012 studio album by American singer-songwriter Cat Power that marked a stylistic shift toward a more electronic and experimental sound.
  • E. 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.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4be7448190988593ee342348c1 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955e4cb481909e3193439bb85cd8 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.