Triple

T6747632
Position Surface form Disambiguated ID Type / Status
Subject Mary Soames E154257 entity
Predicate honorificSuffix P341 FINISHED
Object LG E5305 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: LG | Statement: [Mary Soames, honorificSuffix, LG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LG
Context triple: [Mary Soames, honorificSuffix, LG]
  • A. LG chosen
    LG is the post-nominal abbreviation used by members of the prestigious British chivalric Order of the Garter.
  • B. LG
    LG is an abbreviation commonly used to refer to the Local Group, the galaxy group that includes the Milky Way, Andromeda, and numerous smaller galaxies.
  • C. LG
    LG is the vehicle registration code used on license plates for the Province of Liège in Belgium.
  • D. LG
    LG is the standard abbreviation for *Lumen Gentium*, the Second Vatican Council’s Dogmatic Constitution on the Church, which outlines Catholic teaching on the nature and mission of the Church.
  • E. LG Electronics
    LG Electronics is a South Korean multinational electronics company known for producing a wide range of consumer electronics, home appliances, and mobile devices.
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1d785dc81909c033084d2068568 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b180f188190b380909c46fbce40 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:11 p.m.