Triple

T641816
Position Surface form Disambiguated ID Type / Status
Subject Community of Madrid E16754 entity
Predicate contains P35 FINISHED
Object Majadahonda
Majadahonda is a suburban municipality west of Madrid, Spain, known for its residential character, shopping centers, and sports facilities.
 E88462 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: Majadahonda | Statement: [Community of Madrid, contains, Majadahonda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Majadahonda
Context triple: [Community of Madrid, contains, Majadahonda]
  • A. Madugandí
    Madugandí is an indigenous comarca (autonomous territory) in Panama inhabited primarily by the Guna (Kuna) people.
  • B. Belén
    Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
  • C. León
    León is a historic city and former kingdom in northwestern Spain, renowned for its medieval architecture and significant role in the formation of the Spanish state.
  • D. Illapel
    Illapel is a city in Chile's Coquimbo Region known as an administrative and commercial center in the Choapa Valley.
  • E. Durán
    Durán is an Ecuadorian city in the Guayas Province, located across the Guayas River from Guayaquil and serving as an important transport and industrial hub.
  • 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: Majadahonda
Triple: [Community of Madrid, contains, Majadahonda]
Generated description
Majadahonda is a suburban municipality west of Madrid, Spain, known for its residential character, shopping centers, and sports facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Majadahonda
Target entity description: Majadahonda is a suburban municipality west of Madrid, Spain, known for its residential character, shopping centers, and sports facilities.
  • A. Madugandí
    Madugandí is an indigenous comarca (autonomous territory) in Panama inhabited primarily by the Guna (Kuna) people.
  • B. Belén
    Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
  • C. León
    León is a historic city and former kingdom in northwestern Spain, renowned for its medieval architecture and significant role in the formation of the Spanish state.
  • D. Illapel
    Illapel is a city in Chile's Coquimbo Region known as an administrative and commercial center in the Choapa Valley.
  • E. Durán
    Durán is an Ecuadorian city in the Guayas Province, located across the Guayas River from Guayaquil and serving as an important transport and industrial hub.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49f02bc2c8190b8a92b2505768c19 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654d435088190b4a910dc280d13c6 completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a65583c7a481908b3833969c30da29 completed March 3, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69a655e1e88481909e37a9911bf5ba8c completed March 3, 2026, 3:30 a.m.
Created at: March 1, 2026, 7:36 p.m.