Triple

T5586508
Position Surface form Disambiguated ID Type / Status
Subject Etruria Hall E146769 entity
Predicate namedAfter P63 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: [Etruria Hall, namedAfter, Etruria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etruria
Context triple: [Etruria Hall, namedAfter, 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020871a3c8190991f291295cadfa5 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d8c6f8881909ac2018d11f5aef8 completed March 22, 2026, 11:38 p.m.
Created at: March 22, 2026, 3:38 p.m.