Triple

T23418550
Position Surface form Disambiguated ID Type / Status
Subject Novempopulania E560578 entity
Predicate alternativeName P39 FINISHED
Object Novempopulana NE NERFINISHED

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: Novempopulana | Statement: [Novempopulania, alternativeName, Novempopulana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novempopulana
Context triple: [Novempopulania, alternativeName, Novempopulana]
  • A. Novempopulania chosen
    Novempopulania was a late Roman province in southwestern Gaul, roughly corresponding to parts of modern Aquitaine and Gascony in France.
  • B. Albingaunum
    Albingaunum is the ancient Roman name for the Ligurian coastal town now known as Albenga in northwestern Italy.
  • C. Rumuola
    Rumuola is a prominent urban neighborhood and transport hub in Port Harcourt, Rivers State, Nigeria.
  • D. Daesitiates
    The Daesitiates were an Illyrian tribe from the central Balkans, known for leading a major revolt against Roman rule under their chieftain Bato in the early 1st century AD.
  • E. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454cb1108190ab21ada5411a7146 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a5438ac08190a40a3d6402794699 completed April 29, 2026, 6:29 a.m.
Created at: April 17, 2026, 5:40 p.m.