Triple

T8618882
Position Surface form Disambiguated ID Type / Status
Subject Beneventum E204110 entity
Predicate formerName P65 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: [Beneventum, formerName, Maleventum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maleventum
Context triple: [Beneventum, formerName, 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. Andecavorum
    Andecavorum is the ancient Latin name for the city now known as Angers in western France.
  • C. Velabrum
    Velabrum was a low-lying, marshy district of ancient Rome situated between the Forum Romanum and the Tiber, known as an important commercial and traffic hub.
  • D. 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.
  • E. Carbentus
    Carbentus is a Dutch surname historically borne by Anna Cornelia Carbentus, the mother of painter Vincent van Gogh.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4712e74c81908b607a0ab2f9a361 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbcb910881909088da53c6e31ae3 completed April 2, 2026, 6:56 p.m.
Created at: March 30, 2026, 6:26 p.m.