Triple

T16443342
Position Surface form Disambiguated ID Type / Status
Subject Friuli E399361 entity
Predicate historicalCenter P2536 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: [Friuli, historicalCenter, Aquileia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aquileia
Context triple: [Friuli, historicalCenter, 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. Picenum city
    Picenum city refers to an ancient urban center located in the historical Picenum region of central Italy, inhabited by the Picentes people before and during Roman rule.
  • E. Salona
    Salona is a historic town in central Greece that served as an important medieval stronghold under various foreign rulers, including Catalan lords.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cd8d2988190acb5722a15623319 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f4b738881908f8a205466397f33 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.