Triple

T1645008
Position Surface form Disambiguated ID Type / Status
Subject El Hierro E35560 entity
Predicate capital P234 FINISHED
Object Valverde
Valverde is the small administrative and population center of El Hierro in Spain’s Canary Islands, known for its hillside setting and traditional island character.
E186165 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: Valverde | Statement: [El Hierro, capital, Valverde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valverde
Context triple: [El Hierro, capital, Valverde]
  • A. Carvajal
    Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
  • B. Montero Ríos
    Montero Ríos is the surname of Eugenio Montero Ríos, a prominent Spanish jurist and politician who served as Prime Minister of Spain in the early 20th century.
  • C. Álvaro
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • D. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • E. Meinier
    Meinier is a rural municipality in the canton of Geneva, Switzerland, known for its agricultural landscape and proximity to the city of Geneva.
  • 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: Valverde
Triple: [El Hierro, capital, Valverde]
Generated description
Valverde is the small administrative and population center of El Hierro in Spain’s Canary Islands, known for its hillside setting and traditional island character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Valverde
Target entity description: Valverde is the small administrative and population center of El Hierro in Spain’s Canary Islands, known for its hillside setting and traditional island character.
  • A. Carvajal
    Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American history.
  • B. Montero Ríos
    Montero Ríos is the surname of Eugenio Montero Ríos, a prominent Spanish jurist and politician who served as Prime Minister of Spain in the early 20th century.
  • C. Álvaro
    Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
  • D. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • E. Meinier
    Meinier is a rural municipality in the canton of Geneva, Switzerland, known for its agricultural landscape and proximity to the city of Geneva.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a41e5a08190b97dd1c0b12c662a completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60a26350819087e7a87b52561143 completed March 8, 2026, 11:42 a.m.
NEDg Description generation batch_69ad61d1806081909268a9a100b326a1 completed March 8, 2026, 11:47 a.m.
NED2 Entity disambiguation (via description) batch_69ad622acf5881908add72069bd2f060 completed March 8, 2026, 11:48 a.m.
Created at: March 4, 2026, 7:28 p.m.