Triple

T3158619
Position Surface form Disambiguated ID Type / Status
Subject type-I superconductors E66049 entity
Predicate includeExample P1259 FINISHED
Object mercury (Hg) E18768 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: mercury (Hg) | Statement: [type-I superconductors, includeExample, mercury (Hg)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: mercury (Hg)
Context triple: [type-I superconductors, includeExample, mercury (Hg)]
  • 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. Zinin
    Zinin is a Russian surname most notably associated with chemist Nikolai Zinin, a pioneer in organic chemistry.
  • D. Copper
    Copper is one of the animal mascots created to represent and promote the 2002 Winter Olympics in Salt Lake City.
  • E. Merkur
    Merkur was a short-lived automotive marque created by Ford in the 1980s to sell European-designed performance and luxury cars in the North American market.
  • 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: includeExample
Context triple: [type-I superconductors, includeExample, mercury (Hg)]
  • A. hasExample chosen
    Indicates that one entity serves as an instance, illustration, or concrete example of another entity.
  • B. codeExample
    Indicates that one entity provides a snippet or sample of source code that illustrates how to use, implement, or demonstrate another entity.
  • C. usedAsExampleIn
    Indicates that one entity is cited or presented as an illustrative example within another entity, such as a text, discussion, or explanation.
  • D. includes
    Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
  • E. includedWith
    Indicates that one entity is provided or packaged together as part of another entity.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5ed82a08190a1bdcf18ee593c79 completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2250a682c8190b01e949f27d6932e completed March 12, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69ad9dfbf0348190952a6bca8fc5fed1 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:05 p.m.