Triple

T2018813
Position Surface form Disambiguated ID Type / Status
Subject Samnites E44057 entity
Predicate mainCity P3207 FINISHED
Object Maleventum E222905 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: Maleventum | Statement: [Samnites, mainCity, Maleventum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maleventum
Context triple: [Samnites, mainCity, Maleventum]
  • A. Maleventum chosen
    Maleventum, later renamed Beneventum, was an important ancient city of the Samnite people in south-central Italy that became a significant Roman stronghold and regional center.
  • B. Mauregard
    Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
  • C. Carbentus
    Carbentus is a Dutch surname historically borne by Anna Cornelia Carbentus, the mother of painter Vincent van Gogh.
  • D. Viadrus
    Viadrus is the ancient Latin name historically used to refer to the Oder River in Central Europe.
  • E. Vortum-Mullem
    Vortum-Mullem is a small village in the Dutch province of North Brabant, known for its rural character and location near the Meuse River.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8cfa5c88190b55bce5db968665b completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0af3f484819085e18a1f9c2e7f9a completed March 8, 2026, 11:49 p.m.
Created at: March 4, 2026, 7:38 p.m.