Triple

T9734735
Position Surface form Disambiguated ID Type / Status
Subject Italia (Roman province) E236027 entity
Predicate majorCity P316 FINISHED
Object Aquileia E228801 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: Aquileia | Statement: [Italia (Roman province), majorCity, Aquileia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aquileia
Context triple: [Italia (Roman province), majorCity, Aquileia]
  • A. Aquileia chosen
    Aquileia was an important ancient Roman city and trading hub in northeastern Italy, near the Adriatic Sea, known for its strategic military and commercial significance.
  • B. Brundisium
    Brundisium was an important ancient Roman port city in southern Italy, strategically located on the Adriatic Sea and serving as a major gateway to the eastern Mediterranean.
  • C. Arpinum
    Arpinum is an ancient Italian town in Latium best known as the birthplace of the Roman statesman and orator Cicero.
  • D. Salona
    Salona was an important ancient Roman city on the Adriatic coast, serving as the chief urban center of the province of Dalmatia in present-day Croatia.
  • E. Carnuntum
    Carnuntum was a major Roman military camp and later a significant provincial capital and trading city on the Danube frontier in what is now eastern Austria.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eebcec08190a9d4606fd26f2e19 completed April 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afce9834819090949690b4ca8622 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:22 p.m.