Triple

T21152235
Position Surface form Disambiguated ID Type / Status
Subject Madrid skyline E521220 entity
Predicate notableFor P22 FINISHED
Object Cuatro Torres NE NERFINISHED

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: Cuatro Torres | Statement: [Madrid skyline, notableFor, Cuatro Torres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cuatro Torres
Context triple: [Madrid skyline, notableFor, Cuatro Torres]
  • A. Cuatro Torres chosen
    Cuatro Torres is a prominent business district in Madrid characterized by four modern skyscrapers that dominate the city's skyline.
  • B. La Herradura
    La Herradura is a coastal village on Spain’s Costa Tropical, known for its picturesque bay, beaches, and tourism within the municipality of Almuñécar in Granada.
  • C. La Herradura
    La Herradura is an affluent residential neighborhood in the municipality of Huixquilucan, within the Greater Mexico City area.
  • D. Los Sarmientos
    Los Sarmientos is a small town in northwestern Argentina’s La Rioja Province, situated within the Chilecito Department.
  • E. El Matorral
    El Matorral is a locality on the island of Fuerteventura in Spain’s Canary Islands, known for hosting Fuerteventura Airport and serving as a gateway for tourists visiting the island.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7240275b481908748c0e3f187ed34 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:58 p.m.