Triple

T15467564
Position Surface form Disambiguated ID Type / Status
Subject Parco Sempione E372068 entity
Predicate near P350 FINISHED
Object Brera district E1151300 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: Brera district | Statement: [Parco Sempione, near, Brera district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brera district
Context triple: [Parco Sempione, near, Brera district]
  • A. Brera district chosen
    The Brera district is a picturesque, bohemian neighborhood in central Milan known for its art galleries, historic architecture, and vibrant café and nightlife scene.
  • B. Parioli district
    The Parioli district is an affluent residential neighborhood in Rome, Italy, known for its elegant streets, embassies, and cultural venues.
  • C. Città Studi district
    Città Studi district is a Milan neighborhood known as a major academic and research hub, hosting several university faculties, institutes, and student facilities.
  • D. Borgo Teresiano district
    The Borgo Teresiano district is a central, historic quarter of Trieste, Italy, known for its 18th–19th century urban layout, canals, and neoclassical architecture.
  • E. Porta Garibaldi area
    Porta Garibaldi area is a central Milan district known for its major railway station, modern business and nightlife hubs, and proximity to key city landmarks.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f69a31c81909a749247b6615d91 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d03845c8190bc8cb96827a5da39 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.