Triple

T20942614
Position Surface form Disambiguated ID Type / Status
Subject Rule 3:36 E515760 entity
Predicate featuresArtist P1952 FINISHED
Object Case 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: Case | Statement: [Rule 3:36, featuresArtist, Case]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Case
Context triple: [Rule 3:36, featuresArtist, Case]
  • A. Case chosen
    Case is a common English surname borne by various notable individuals across fields such as business, politics, and the arts.
  • B. CASE
    CASE is the commonly used acronym for the College of Arts, Sciences & Education, an academic division encompassing a broad range of liberal arts, scientific, and educational disciplines.
  • C. Caso
    Caso is a Spanish-language surname borne by various notable individuals, including Mexican archaeologist and anthropologist Alfonso Caso.
  • D. CASES
    CASES is a conference focused on computer-aided design and synthesis of embedded systems, typically held as part of the ESWEEK (Embedded Systems Week) event.
  • E. Case Nuove
    Case Nuove is a small locality in northern Italy that forms a frazione of the municipality of Somma Lombardo in the Lombardy region.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f9571c448190b314a66e02772b1e completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:50 p.m.