Triple

T8226349
Position Surface form Disambiguated ID Type / Status
Subject Classis Britannica E192181 entity
Predicate hadBase P72117 FINISHED
Object Gesoriacum E555164 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: Gesoriacum | Statement: [Classis Britannica, hadBase, Gesoriacum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gesoriacum
Context triple: [Classis Britannica, hadBase, Gesoriacum]
  • A. Gesoriacum chosen
    Gesoriacum was the ancient Roman name for the port city later known as Bononia (modern Boulogne-sur-Mer) in northern Gaul, an important maritime and military hub facing Britain.
  • B. Andecavorum
    Andecavorum is the ancient Latin name for the city now known as Angers in western France.
  • C. Lauriacum
    Lauriacum was a major Roman military and administrative center in the province of Noricum, located near the Danube in what is now Austria.
  • D. Sabinum
    Sabinum was the ancient central Italian region traditionally associated with the Sabine people, located in the Apennine area northeast of Rome.
  • E. Albingaunum
    Albingaunum is the ancient Roman name for the Ligurian coastal town now known as Albenga in northwestern Italy.
  • 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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb77fc10f48190b7e241c89885a478 completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccee140e708190bf07a63fecd08c7f completed April 1, 2026, 10:06 a.m.
Created at: March 30, 2026, 5:45 p.m.