Triple

T1794610
Position Surface form Disambiguated ID Type / Status
Subject Montserrat Caballé E39574 entity
Predicate notableSong P4 FINISHED
Object "Barcelona" E9407 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: "Barcelona" | Statement: [Montserrat Caballé, notableSong, "Barcelona"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "Barcelona"
Context triple: [Montserrat Caballé, notableSong, "Barcelona"]
  • A. Barcelona chosen
    Barcelona is a major Spanish Mediterranean city renowned for its distinctive Catalan culture, Gaudí architecture, and vibrant arts and nightlife scenes.
  • B. Barca
    Barca is the family name of the prominent Carthaginian military dynasty that included the famed general Hannibal.
  • C. Usatges de Barcelona
    The Usatges de Barcelona are a foundational medieval legal code that helped shape the customary law and institutional framework of Catalonia.
  • D. L’Hospitalet de Llobregat
    L’Hospitalet de Llobregat is a densely populated city in the metropolitan area of Barcelona, Catalonia, known as one of Spain’s largest municipalities by population and an important residential and commercial hub.
  • E. Cívitas Metropolitano
    Cívitas Metropolitano is a modern football stadium in Madrid, Spain, best known as the home ground of La Liga club Atlético de Madrid.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa653daa0c8190a5d96c20c8a0af15 completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d49d7481909dcb5cc54b92e3cc completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:32 p.m.