Triple

T11505646
Position Surface form Disambiguated ID Type / Status
Subject Apology against Jerome E272775 entity
Predicate placeOfOrigin P3743 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: [Apology against Jerome, placeOfOrigin, Aquileia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aquileia
Context triple: [Apology against Jerome, placeOfOrigin, 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 is a historic town in central Greece that served as an important medieval stronghold under various foreign rulers, including Catalan lords.
  • E. 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.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db2f4b08190801de1b773932f59 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e624e6e5b88190a2c64dcea1d7791b completed April 20, 2026, 1:06 p.m.
Created at: April 8, 2026, 9:36 p.m.