Triple

T6301676
Position Surface form Disambiguated ID Type / Status
Subject Messier 67 E141268 entity
Predicate hasSimilarAgeTo P43008 FINISHED
Object the Sun E3186 NE FINISHED

How this triple was built (3 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: [Messier 67, hasSimilarAgeTo, the Sun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Sun
Context triple: [Messier 67, hasSimilarAgeTo, 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. 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.
  • 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSimilarAgeTo
Context triple: [Messier 67, hasSimilarAgeTo, the Sun]
  • A. hasRelativeAge chosen
    Indicates that one entity has an age that is defined or compared in relation to the age of another entity.
  • B. hasAge
    Indicates that an entity possesses a specific age value, typically expressed as a number of time units since its birth or creation.
  • C. containsAge
    Indicates that one entity includes or specifies the age value or age-related information of another entity.
  • D. numberOfAges
    Indicates the count of distinct ages associated with an entity or within a specified group or context.
  • E. isYouthEquivalentOf
    Indicates that one entity is the youth or junior counterpart of another, typically representing a younger or age-specific version of the same role, group, or category.
  • F. None of above.

Provenance (4 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645cfca88190ace060ef5b0e00e8 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d2cd75c81908961633a7ccf5dc9 completed March 27, 2026, 7:09 a.m.
PD Predicate disambiguation batch_69c060e311b48190b1c74a5cf9435623 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:27 p.m.