Triple

T12067222
Position Surface form Disambiguated ID Type / Status
Subject Giacomo Acerbo E287326 entity
Predicate authorOf P4244 FINISHED
Object Acerbo Law E57025 NE 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: Acerbo Law | Statement: [Giacomo Acerbo, authorOf, Acerbo Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acerbo Law
Context triple: [Giacomo Acerbo, authorOf, Acerbo Law]
  • A. Acerbo Law chosen
    The Acerbo Law was a 1923 Italian electoral law introduced under Benito Mussolini that guaranteed a large parliamentary majority to the leading party, helping consolidate Fascist dictatorship.
  • B. Bodesbeck Law
    Bodesbeck Law is a prominent hill in the Ettrick Hills of the Southern Uplands in Scotland, popular with walkers for its scenic views and rolling moorland terrain.
  • C. Notman Law
    Notman Law is a notable geographical feature located within the Tweedsmuir Hills of southern Scotland.
  • D. Greenlaw
    Greenlaw is a small historic town in the Scottish Borders that once served as the county town of Berwickshire.
  • E. Largo Law
    Largo Law is a prominent volcanic hill in Fife, Scotland, known for its distinctive conical shape and panoramic views over the surrounding countryside and coastline.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904423dc08190a47194422255c62e completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a66711481909fe0b0d3b2934601 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:48 p.m.