Triple

T22671498
Position Surface form Disambiguated ID Type / Status
Subject Campo de Borja (comarca) E560228 entity
Predicate hasPart P35 FINISHED
Object Maleján
Maleján is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, Spain.
 E1548410 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: Maleján | Statement: [Campo de Borja (comarca), hasPart, Maleján]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maleján
Context triple: [Campo de Borja (comarca), hasPart, Maleján]
  • A. Magaña
    Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
  • B. Zamudio
    Zamudio is a municipality in the province of Biscay in Spain’s Basque Country, known for hosting the Zamudio Technology Park and being part of the Greater Bilbao metropolitan area.
  • C. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • D. Valladares
    Valladares is a Spanish surname historically associated with nobility and notable figures such as colonial administrators and politicians.
  • E. Briceño
    Briceño is a municipality in Colombia’s Cundinamarca Department, located within the Sabana Centro Province near the Bogotá metropolitan area.
  • 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: Maleján
Triple: [Campo de Borja (comarca), hasPart, Maleján]
Generated description
Maleján is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maleján
Target entity description: Maleján is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, Spain.
  • A. Magaña
    Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
  • B. Zamudio
    Zamudio is a municipality in the province of Biscay in Spain’s Basque Country, known for hosting the Zamudio Technology Park and being part of the Greater Bilbao metropolitan area.
  • C. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • D. Valladares
    Valladares is a Spanish surname historically associated with nobility and notable figures such as colonial administrators and politicians.
  • E. Briceño
    Briceño is a municipality in Colombia’s Cundinamarca Department, located within the Sabana Centro Province near the Bogotá metropolitan area.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17820a8088190bc0ce907adf95863 completed April 29, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73eb35c4819083a5de1f2979b521 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b745f36708190af2a61f501c18c78 completed May 18, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0b74ebf8c08190bc3f2bd0b442ef9c completed May 18, 2026, 8:22 p.m.
Created at: April 17, 2026, 3:10 p.m.