Triple

T15568767
Position Surface form Disambiguated ID Type / Status
Subject Penela E374183 entity
Predicate hasParish P35 FINISHED
Object Cumeeira
Cumeeira is a civil parish located in the municipality of Penela in central Portugal.
 E1167825 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: Cumeeira | Statement: [Penela, hasParish, Cumeeira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cumeeira
Context triple: [Penela, hasParish, Cumeeira]
  • A. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • B. Comala
    Comala is a town in the Mexican state of Colima, known for its picturesque colonial architecture and proximity to the active Volcán de Fuego.
  • C. Rumueme
    Rumueme is a prominent urban community in Rivers State, Nigeria, forming part of the greater Port Harcourt metropolitan area.
  • D. Cosentia
    Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
  • E. Kokama
    Kokama are an Indigenous people of the western Amazon, primarily inhabiting regions of Peru, Brazil, and Colombia, known for their distinct Kokama language and riverine culture.
  • 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: Cumeeira
Triple: [Penela, hasParish, Cumeeira]
Generated description
Cumeeira is a civil parish located in the municipality of Penela in central Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cumeeira
Target entity description: Cumeeira is a civil parish located in the municipality of Penela in central Portugal.
  • A. Comala
    Comala is a town in the Mexican state of Colima, known for its picturesque colonial architecture and proximity to the active Volcán de Fuego.
  • B. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • C. Rumueme
    Rumueme is a prominent urban community in Rivers State, Nigeria, forming part of the greater Port Harcourt metropolitan area.
  • D. Cosentia
    Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
  • E. Kokama
    Kokama are an Indigenous people of the western Amazon, primarily inhabiting regions of Peru, Brazil, and Colombia, known for their distinct Kokama language and riverine culture.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f30e48881908b30a71796fe0d72 completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff605d94308190bccbfb4588f337e1 completed May 9, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69ff612340748190987e567e43460f62 completed May 9, 2026, 4:30 p.m.
Created at: April 10, 2026, 4:10 a.m.