Triple

T10185229
Position Surface form Disambiguated ID Type / Status
Subject Lapa Piagenti E236890 entity
Predicate livedIn P75 FINISHED
Object Siena, Tuscany, Italy E168770 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: Siena, Tuscany, Italy | Statement: [Lapa Piagenti, livedIn, Siena, Tuscany, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siena, Tuscany, Italy
Context triple: [Lapa Piagenti, livedIn, Siena, Tuscany, Italy]
  • A. Siena chosen
    Siena is a historic Tuscan city renowned for its medieval brick architecture, fan-shaped Piazza del Campo, and the Palio horse race.
  • B. SIENA
    SIENA is a secure communication platform used primarily by European law enforcement agencies to exchange sensitive information and coordinate cross-border operations.
  • C. Lajatico, Tuscany, Italy
    Lajatico, in Tuscany, Italy, is a small rural town best known as the birthplace of tenor Andrea Bocelli and for hosting his open-air Teatro del Silenzio concerts.
  • D. Calenzano, Italy
    Calenzano, Italy is a Tuscan municipality near Florence known for its medieval castle, historic hilltop village, and mix of industrial and residential areas.
  • E. Perugia, Italy
    Perugia, Italy is a historic hilltop city in central Italy’s Umbria region, renowned for its medieval architecture, universities, and annual cultural festivals such as Umbria Jazz and Eurochocolate.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded36e9808190b385c5aec4889e00 completed April 2, 2026, 4:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317a4d99c8190941322d3de2998f5 completed April 6, 2026, 2:17 a.m.
Created at: March 30, 2026, 9:12 p.m.