Triple

T1969421
Position Surface form Disambiguated ID Type / Status
Subject Gallic Empire E42763 entity
Predicate notableCity P2813 FINISHED
Object Lugdunum E78794 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: Lugdunum | Statement: [Gallic Empire, notableCity, Lugdunum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lugdunum
Context triple: [Gallic Empire, notableCity, Lugdunum]
  • A. Lugdunum chosen
    Lugdunum was the principal Roman city in Gaul, serving as a major administrative, commercial, and cultural center of the Roman Empire in what is now Lyon, France.
  • B. Londinium
    Londinium was the major Roman city and commercial hub that later evolved into modern-day London.
  • C. Lugdunum Convenarum
    Lugdunum Convenarum was an ancient Roman town in southwestern Gaul (near modern Saint-Bertrand-de-Comminges, France), known as a regional center in the foothills of the Pyrenees.
  • D. Hadrumetum
    Hadrumetum was an important ancient Phoenician and later Roman port city located on the coast of modern-day Tunisia.
  • E. Argentoratum
    Argentoratum is the ancient Roman military camp and settlement that later developed into the modern city of Strasbourg in northeastern France.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3d17274819084cd352a3d2a8151 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd9a2dc81909f86fdfa9c646dd0 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.