Triple

T10163792
Position Surface form Disambiguated ID Type / Status
Subject Cosa E233955 entity
Predicate partOf P40 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: [Cosa, partOf, Etruria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etruria
Context triple: [Cosa, partOf, 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. Albia
    Albia is a small city in Monroe County, Iowa, serving as a local hub for the surrounding rural area in the south-central part of the state.
  • E. 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.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec6a7bb48190952f4318af9cc32b completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d31774617c8190848ad4990fe5801d completed April 6, 2026, 2:16 a.m.
Created at: March 30, 2026, 9:09 p.m.