Triple

T17563816
Position Surface form Disambiguated ID Type / Status
Subject Arretium E427757 entity
Predicate hasLatinName P3646 FINISHED
Object Arretium 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: Arretium | Statement: [Arretium, hasLatinName, Arretium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arretium
Context triple: [Arretium, hasLatinName, Arretium]
  • A. Arretium chosen
    Arretium was a major Etruscan and later Roman city in central Italy, renowned for its strategic location and production of fine pottery (Arretine ware).
  • B. Italica
    Italica was an ancient Roman city in Hispania (near modern Seville, Spain), notable as the birthplace of emperors Trajan and Hadrian.
  • C. Acerrae
    Acerrae was an ancient Roman town in Campania, Italy, known from classical sources and archaeology as a minor settlement in the hinterland of Naples.
  • D. Olbia
    Olbia is a coastal city in northeastern Sardinia, Italy, known as a major port and tourist gateway to the Costa Smeralda.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592bde448190bf5ed2340440e2b7 completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.