Triple

T13821119
Position Surface form Disambiguated ID Type / Status
Subject Villanovan culture E332135 entity
Predicate hasSite P1205 FINISHED
Object Vulci E94670 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: Vulci | Statement: [Villanovan culture, hasSite, Vulci]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vulci
Context triple: [Villanovan culture, hasSite, Vulci]
  • A. Vulci chosen
    Vulci was an important ancient Etruscan city renowned for its rich tombs, art, and role in Mediterranean trade.
  • B. Tarquinii
    Tarquinii is the ancient Etruscan city in central Italy renowned for its rich archaeological remains and elaborately painted tombs.
  • C. Aurunci
    The Aurunci were an ancient Italic people of south-central Italy, known from early Roman history and associated with the Oscan-speaking cultural sphere.
  • D. Ager Privernas
    Ager Privernas was an ancient rural district in southern Latium associated with the Roman town of Privernum, known for its agricultural lands and integration into the Roman territorial system.
  • E. Cerveteri
    Cerveteri is an ancient Italian town best known as a powerful Etruscan city-state and for its extensive necropolis of rock-cut tombs.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0284428081908043c55caeefb833 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e966c48190abe109d44300014a completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:12 p.m.