Triple

T21947320
Position Surface form Disambiguated ID Type / Status
Subject Merkur Mountain E541966 entity
Predicate namedAfter P63 FINISHED
Object Mercury NE NERFINISHED

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: Mercury | Statement: [Merkur Mountain, namedAfter, Mercury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mercury
Context triple: [Merkur Mountain, namedAfter, Mercury]
  • A. Mercury
    Mercury was an American automobile marque of the Ford Motor Company known for producing mid-priced cars positioned between Ford and Lincoln.
  • B. Mercury chosen
    Mercury is the smallest and innermost planet in our Solar System, known for its extreme temperature variations and heavily cratered surface.
  • C. Mercury
    Mercury is the nickname of former American football running back Eugene "Mercury" Morris, best known for his role on the undefeated 1972 Miami Dolphins team.
  • D. Mercury
    "Mercury" is an album by American rapper Khujo, known for its gritty Southern hip hop style and introspective lyricism.
  • E. Mercury
    Mercury is a software platform that serves as a backend or data management system commonly integrated with tools like the ConQuest search interface.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12428dee48190acb63051ed7cd03e completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:57 p.m.