Triple

T4166764
Position Surface form Disambiguated ID Type / Status
Subject Etruscan art E84465 entity
Predicate mainRegion P1103 FINISHED
Object Etruria E14168 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: Etruria | Statement: [Etruscan art, mainRegion, Etruria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etruria
Context triple: [Etruscan art, mainRegion, Etruria]
  • A. Etruria chosen
    Etruria was an ancient region of central Italy inhabited by the Etruscans, a pre-Roman civilization renowned for its distinctive art, architecture, and cultural influence on early Rome.
  • B. Latium
    Latium was an ancient region of central western Italy, encompassing Rome and its surroundings, that gave rise to the Latin people and language.
  • C. Nursia
    Nursia is an ancient town in central Italy, historically significant as the birthplace of Saint Benedict and known today as Norcia.
  • D. Kingdom of Etruria
    The Kingdom of Etruria was a short-lived early 19th-century client state in central Italy established by Napoleon and governed by a branch of the Spanish Bourbon dynasty.
  • E. Latium Adiectum
    Latium Adiectum was the later-expanded part of ancient Latium in central Italy, added to the original Latin territory under Roman control.
  • 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_69aed932cab48190b80ffe35f7029ae1 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02c43a7481909eed7cb8c14deb0c completed March 9, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d055a1888190a188a8dba7d8af23 completed March 14, 2026, 9:17 p.m.
Created at: March 9, 2026, 3:44 p.m.