Triple

T26488340
Position Surface form Disambiguated ID Type / Status
Subject Advanced Inorganic Chemistry (with F. Albert Cotton) E664887 entity
Predicate targetSubdiscipline P5461 FINISHED
Object inorganic chemistry LITERAL 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: inorganic chemistry | Statement: [Advanced Inorganic Chemistry (with F. Albert Cotton), targetSubdiscipline, inorganic chemistry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetSubdiscipline
Context triple: [Advanced Inorganic Chemistry (with F. Albert Cotton), targetSubdiscipline, inorganic chemistry]
  • A. subDisciplineOf
    Indicates that one discipline is a more specialized or narrower field within another, broader discipline.
  • B. hasSubdiscipline chosen
    Indicates that one discipline includes another, more specialized field of study as a subordinate branch.
  • C. studiedInSubdiscipline
    Indicates that an entity pursued study or academic work within a specific subdiscipline of a broader field.
  • D. secondaryDiscipline
    Indicates that an entity has an additional, subordinate field of study or area of specialization associated with it, distinct from its primary discipline.
  • E. targetDisciplineLevel
    Indicates the level or degree of disciplinary action or control that is directed toward a particular target.
  • F. None of above.

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_69ee883bc85481909885f92415cbce33 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6cee45590819086e489bfccbe4ac3 completed May 3, 2026, 4:28 a.m.
PD Predicate disambiguation batch_69f6cc1188708190b8f0f56e595e6057 completed May 3, 2026, 4:16 a.m.
Created at: April 27, 2026, 12:32 a.m.