Triple

T9054395
Position Surface form Disambiguated ID Type / Status
Subject Byzacena E216961 entity
Predicate capital P234 FINISHED
Object Hadrumetum E216963 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: Hadrumetum | Statement: [Byzacena, capital, Hadrumetum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hadrumetum
Context triple: [Byzacena, capital, Hadrumetum]
  • A. Hadrumetum chosen
    Hadrumetum was an important ancient Phoenician and later Roman port city located on the coast of modern-day Tunisia.
  • B. Teanum Sidicinum
    Teanum Sidicinum was an important ancient city in Campania, Italy, serving as the chief urban center of the Sidicini people and later becoming a notable Roman municipality.
  • C. Noviomagus
    Noviomagus is an ancient Roman place-name used for several settlements in the western provinces of the Roman Empire, notably including the town later known as Ulpia Noviomagus Batavorum (modern Nijmegen in the Netherlands).
  • D. Mogontiacum
    Mogontiacum was the major Roman military and administrative settlement that later developed into the modern German city of Mainz.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a72e2dc8190a16deff8abe701b1 completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebdb01a8819084365c9b73506a28 completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:10 p.m.