Triple

T2689635
Position Surface form Disambiguated ID Type / Status
Subject Miramare Park E57567 entity
Predicate near P350 FINISHED
Object Grignano E51048 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: Grignano | Statement: [Miramare Park, near, Grignano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grignano
Context triple: [Miramare Park, near, Grignano]
  • A. Grignano chosen
    Grignano is a coastal locality near Trieste in northeastern Italy, known for its scenic bay and proximity to Miramare Castle.
  • B. Segrate
    Segrate is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and commercial suburb.
  • C. Guastalla
    Guastalla is a historic town in northern Italy, notable for its ties to European nobility including serving as a residence of Pauline Bonaparte.
  • D. Collegno
    Collegno is a municipality in the Metropolitan City of Turin in northern Italy, known as a residential and industrial suburb of Turin.
  • E. Lomazzo
    Lomazzo is a town in northern Italy’s Lombardy region, situated between Como and Milan and known for its residential character and local industry.
  • 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_69ab4a5028388190a36f3baf1588309e completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9f380d48190953529d23688a328 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69b12dfe893c81909c79ea6cffb5bae6 completed March 11, 2026, 8:55 a.m.
Created at: March 6, 2026, 9:54 p.m.