Triple

T1323616
Position Surface form Disambiguated ID Type / Status
Subject Thyssen-Bornemisza Museum E28275 entity
Predicate region P40 FINISHED
Object Community of Madrid E16754 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: Community of Madrid | Statement: [Thyssen-Bornemisza Museum, region, Community of Madrid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Community of Madrid
Context triple: [Thyssen-Bornemisza Museum, region, Community of Madrid]
  • A. Community of Madrid chosen
    The Community of Madrid is an autonomous region in central Spain that includes the nation’s capital, Madrid, and serves as a major political, cultural, and economic hub.
  • B. Madrid
    Madrid is the capital and largest city of Spain, renowned for its rich cultural heritage, historic architecture, and vibrant arts and nightlife scenes.
  • C. Madrid
    Madrid is a municipality in the Cundinamarca department of Colombia, located near Bogotá and known for its floriculture and agricultural production.
  • D. Leganés
    Leganés is a major suburban city in central Spain, located just southwest of Madrid and known for its residential character, industry, and football club CD Leganés.
  • E. Fuenlabrada
    Fuenlabrada is a large suburban city in central Spain, located southwest of Madrid and known for its rapid growth, industrial activity, and sizable commuter population.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19caa148190a1f5be734b7d9005 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69adb5ac8a2481908394095e9a6edc6a completed March 8, 2026, 5:45 p.m.
Created at: March 1, 2026, 7:55 p.m.