Triple

T16782133
Position Surface form Disambiguated ID Type / Status
Subject Matarranya E407881 entity
Predicate containsSettlement P847 FINISHED
Object Mazaleón
Mazaleón is a small municipality in the province of Teruel, Aragon, Spain, known for its rural character and location in the Matarranya comarca.
E1234837 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: Mazaleón | Statement: [Matarranya, containsSettlement, Mazaleón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazaleón
Context triple: [Matarranya, containsSettlement, Mazaleón]
  • A. Churriana
    Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
  • B. Grajales
    Grajales is a Spanish-language surname most notably associated with Mariana Grajales, a revered figure in Cuban history and the independence movement.
  • C. Moyuela
    Moyuela is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, Spain.
  • D. Peñuelas
    Peñuelas is a municipality on the southern coast of Puerto Rico known for its industrial facilities and proximity to the city of Ponce.
  • E. Lajares
    Lajares is a small, laid-back village in northern Fuerteventura, Canary Islands, known for its surf culture, artisan markets, and proximity to volcanic landscapes.
  • 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: Mazaleón
Triple: [Matarranya, containsSettlement, Mazaleón]
Generated description
Mazaleón is a small municipality in the province of Teruel, Aragon, Spain, known for its rural character and location in the Matarranya comarca.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mazaleón
Target entity description: Mazaleón is a small municipality in the province of Teruel, Aragon, Spain, known for its rural character and location in the Matarranya comarca.
  • A. Churriana
    Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
  • B. Grajales
    Grajales is a Spanish-language surname most notably associated with Mariana Grajales, a revered figure in Cuban history and the independence movement.
  • C. Moyuela
    Moyuela is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, Spain.
  • D. Peñuelas
    Peñuelas is a municipality on the southern coast of Puerto Rico known for its industrial facilities and proximity to the city of Ponce.
  • E. Lajares
    Lajares is a small, laid-back village in northern Fuerteventura, Canary Islands, known for its surf culture, artisan markets, and proximity to volcanic landscapes.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b217b2108190bbba262a3b324509 completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b287a96c8190a16d7c76d05be106 completed May 10, 2026, 4:29 p.m.
NEDg Description generation batch_6a00b3dd883081908d97dc81c4891145 completed May 10, 2026, 4:35 p.m.
NED2 Entity disambiguation (via description) batch_6a00b466ecd08190b7b5ee54476631ab completed May 10, 2026, 4:37 p.m.
Created at: April 10, 2026, 5:22 a.m.