Triple

T7261361
Position Surface form Disambiguated ID Type / Status
Subject Puente del Rey E159659 entity
Predicate near P350 FINISHED
Object Príncipe Pío area E512896 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: Príncipe Pío area | Statement: [Puente del Rey, near, Príncipe Pío area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Príncipe Pío area
Context triple: [Puente del Rey, near, Príncipe Pío area]
  • A. Principe Pio area chosen
    The Principe Pio area is a central Madrid district known for its major transport hub, shopping and leisure complex, and proximity to historic sites and royal gardens.
  • B. Jardines del Rey
    Jardines del Rey is an archipelago off Cuba’s northern coast known for its coral cays, white-sand beaches, and resort tourism.
  • C. Montijo area
    The Montijo area is a region on the south bank of the Tagus River in Portugal, opposite Lisbon, known for its proximity to major transport links and growing suburban development.
  • D. Los Palacios
    Los Palacios is a Cuban town and municipality known for its agricultural activity within Pinar del Río Province.
  • E. Palau Reial
    Palau Reial is a Barcelona Metro station on Line 3 located near the Palau Reial de Pedralbes and the western end of Avinguda Diagonal.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eac79fd081909274aa10ffb192aa completed March 27, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3bda4808190810f2d170cb693b9 completed March 28, 2026, 1:12 p.m.
Created at: March 27, 2026, 2:57 p.m.