Triple

T14988130
Position Surface form Disambiguated ID Type / Status
Subject Master in the Study of Law E373759 entity
Predicate mayOfferConcentrationsIn P97848 FINISHED
Object business law 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: business law | Statement: [Master in the Study of Law, mayOfferConcentrationsIn, business law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayOfferConcentrationsIn
Context triple: [Master in the Study of Law, mayOfferConcentrationsIn, business law]
  • A. mayOfferConcentrationIn chosen
    Indicates that an educational program or institution is permitted to provide a specialized concentration or focus area within a broader field of study.
  • B. isOfferedThrough
    Indicates that something (such as a service, course, or product) is made available or provided via a particular channel, platform, or intermediary.
  • C. offersDegree
    Indicates that an institution or program provides a specific academic degree as an available qualification.
  • D. offersFieldOfStudy
    Indicates that an institution or program provides a particular field of study as an available area of academic focus.
  • E. mayBeConferredAs
    Indicates that something has the potential or authorization to be formally granted or bestowed upon an entity under certain conditions.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7007588819095bb1de029a6f2eb completed April 15, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69de9a6169b48190a679609febd2d0e3 completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:53 a.m.