Triple

T7192533
Position Surface form Disambiguated ID Type / Status
Subject Tables of the Sun E167728 entity
Predicate mainSubject P3 FINISHED
Object 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: Sun | Statement: [Tables of the Sun, mainSubject, Sun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sun
Context triple: [Tables of the Sun, mainSubject, 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. The Sun
    The Sun is a British tabloid newspaper known for its sensationalist journalism, celebrity gossip, and large circulation.
  • C. 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.
  • D. SUN
    SUN is the National Rail station code for Sunderland railway station in Tyne and Wear, England.
  • E. SUN
    SUN is the Australian Securities Exchange (ASX) ticker symbol for Suncorp Group, a major Australian finance, insurance, and banking corporation.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e901ea1481908a9e44f96dd4b553 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf95a1a0819099d252f037c318c7 completed March 28, 2026, 11:46 a.m.
Created at: March 27, 2026, 2:50 p.m.