Triple

T22671627
Position Surface form Disambiguated ID Type / Status
Subject Campo de Cariñena comarca E560230 entity
Predicate hasMunicipality P847 FINISHED
Object Muel
Muel is a municipality in the province of Zaragoza, Aragon, Spain, known for its traditional ceramics and scenic setting near the Huerva River.
 E1548446 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: Muel | Statement: [Campo de Cariñena comarca, hasMunicipality, Muel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Muel
Context triple: [Campo de Cariñena comarca, hasMunicipality, Muel]
  • A. Muellama
    Muellama is an indigenous Barbacoan language spoken by a small community in the Andean region of South America.
  • B. Muolaa
    Muolaa was a former Finnish municipality on the Karelian Isthmus, historically significant for its rural communities and its transfer to Soviet control after World War II.
  • C. Mülchi
    Mülchi was a former small municipality in the canton of Bern, Switzerland, that has since been incorporated into the larger municipality of Fraubrunnen.
  • D. Mulee'aage
    Mulee'aage is the official presidential palace and primary residence of the President of the Maldives, located in the capital city Malé.
  • E. Mullutu
    Mullutu is a small village in Saare County on the island of Saaremaa in western Estonia.
  • 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: Muel
Triple: [Campo de Cariñena comarca, hasMunicipality, Muel]
Generated description
Muel is a municipality in the province of Zaragoza, Aragon, Spain, known for its traditional ceramics and scenic setting near the Huerva River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Muel
Target entity description: Muel is a municipality in the province of Zaragoza, Aragon, Spain, known for its traditional ceramics and scenic setting near the Huerva River.
  • A. Muellama
    Muellama is an indigenous Barbacoan language spoken by a small community in the Andean region of South America.
  • B. Muolaa
    Muolaa was a former Finnish municipality on the Karelian Isthmus, historically significant for its rural communities and its transfer to Soviet control after World War II.
  • C. Mülchi
    Mülchi was a former small municipality in the canton of Bern, Switzerland, that has since been incorporated into the larger municipality of Fraubrunnen.
  • D. Mulee'aage
    Mulee'aage is the official presidential palace and primary residence of the President of the Maldives, located in the capital city Malé.
  • E. Mullutu
    Mullutu is a small village in Saare County on the island of Saaremaa in western Estonia.
  • 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.