Triple

T700656
Position Surface form Disambiguated ID Type / Status
Subject Calle Felipe IV, Madrid E13990 entity
Predicate locatedInDistrict P40 FINISHED
Object Retiro
Retiro is a central district of Madrid, Spain, known for encompassing the expansive El Retiro Park and a mix of residential, cultural, and historical areas.
E85778 NE FINISHED

How this triple was built (4 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: Retiro | Statement: [Calle Felipe IV, Madrid, locatedInDistrict, Retiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Retiro
Context triple: [Calle Felipe IV, Madrid, locatedInDistrict, Retiro]
  • A. El Rosario
    El Rosario is a major Mexico City transit hub and neighborhood that serves as a key terminus and interchange point for multiple public transportation lines.
  • B. Illapel
    Illapel is a city in Chile's Coquimbo Region known as an administrative and commercial center in the Choapa Valley.
  • C. San Antonio de los Baños
    San Antonio de los Baños is a Cuban town known for its film school and cultural traditions, located southwest of Havana.
  • D. San Isidro
    San Isidro is an upscale, modern district of Lima, Peru, known for its financial center, embassies, parks, and high-end residential areas.
  • E. San Lázaro
    San Lázaro is a major transit hub and neighborhood in Mexico City, known for its metro and Metrobús connections and proximity to the federal legislative complex.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Retiro
Triple: [Calle Felipe IV, Madrid, locatedInDistrict, Retiro]
Generated description
Retiro is a central district of Madrid, Spain, known for encompassing the expansive El Retiro Park and a mix of residential, cultural, and historical areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Retiro
Target entity description: Retiro is a central district of Madrid, Spain, known for encompassing the expansive El Retiro Park and a mix of residential, cultural, and historical areas.
  • A. El Rosario
    El Rosario is a major Mexico City transit hub and neighborhood that serves as a key terminus and interchange point for multiple public transportation lines.
  • B. Illapel
    Illapel is a city in Chile's Coquimbo Region known as an administrative and commercial center in the Choapa Valley.
  • C. San Antonio de los Baños
    San Antonio de los Baños is a Cuban town known for its film school and cultural traditions, located southwest of Havana.
  • D. San Isidro
    San Isidro is an upscale, modern district of Lima, Peru, known for its financial center, embassies, parks, and high-end residential areas.
  • E. San Lázaro
    San Lázaro is a major transit hub and neighborhood in Mexico City, known for its metro and Metrobús connections and proximity to the federal legislative complex.
  • F. None of above. chosen

Provenance (5 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a52fdb888190ad0e48fb3cf4dc3d completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dcac4e9c8190bb6903916a6624a8 completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5dfa4a07c8190ac4f477e324b46ff completed March 2, 2026, 7:06 p.m.
NED2 Entity disambiguation (via description) batch_69a607857b648190a37bf535428e2afd completed March 2, 2026, 9:56 p.m.
Created at: March 1, 2026, 7:36 p.m.