Triple

T5196269
Position Surface form Disambiguated ID Type / Status
Subject Utica E117278 entity
Predicate historicalRegion P915 FINISHED
Object Zeugitana E216962 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: Zeugitana | Statement: [Utica, historicalRegion, Zeugitana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeugitana
Context triple: [Utica, historicalRegion, Zeugitana]
  • A. Zeugitana chosen
    Zeugitana was an ancient region in northern Tunisia centered around Carthage, known as a key coastal and urbanized area of Roman North Africa.
  • B. Galissas
    Galissas is a coastal village and popular beach resort on the Greek island of Syros in the Cyclades.
  • C. Adigeni
    Adigeni is a small town in southern Georgia, serving as a local administrative and cultural center within the Samtskhe-Javakheti region.
  • D. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • E. Frentani
    The Frentani were an ancient Italic tribe inhabiting the Adriatic coast of central Italy, known for their interactions and eventual alliance with the Roman Republic.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a1c2184819083f4b1d8830bebae completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee09d84f08190b8270394fc35e195 completed March 21, 2026, 6:17 p.m.
Created at: March 20, 2026, 1:46 p.m.