Triple

T16361467
Position Surface form Disambiguated ID Type / Status
Subject Penedono E397320 entity
Predicate hasParish P35 FINISHED
Object Penedono e Granja
Penedono e Granja is a civil parish in the municipality of Penedono, located in Portugal’s Viseu District.
E1208113 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: Penedono e Granja | Statement: [Penedono, hasParish, Penedono e Granja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penedono e Granja
Context triple: [Penedono, hasParish, Penedono e Granja]
  • A. Granja do Torto
    Granja do Torto is a rural presidential retreat near Brasília used as a secondary residence and working farm for the President of Brazil.
  • B. Painho e Figueiros
    Painho e Figueiros is a civil parish in the municipality of Cadaval, in Portugal’s Lisbon District.
  • C. Potrerillos
    Potrerillos is a town and municipality located in the Cortés Department of northwestern Honduras.
  • D. Frasqueira
    Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
  • E. Campo Viejo
    Campo Viejo is a popular Spanish Rioja wine brand known for its approachable, fruit-forward style and wide international distribution.
  • 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: Penedono e Granja
Triple: [Penedono, hasParish, Penedono e Granja]
Generated description
Penedono e Granja is a civil parish in the municipality of Penedono, located in Portugal’s Viseu District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Penedono e Granja
Target entity description: Penedono e Granja is a civil parish in the municipality of Penedono, located in Portugal’s Viseu District.
  • A. Granja do Torto
    Granja do Torto is a rural presidential retreat near Brasília used as a secondary residence and working farm for the President of Brazil.
  • B. Painho e Figueiros
    Painho e Figueiros is a civil parish in the municipality of Cadaval, in Portugal’s Lisbon District.
  • C. Potrerillos
    Potrerillos is a town and municipality located in the Cortés Department of northwestern Honduras.
  • D. Frasqueira
    Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
  • E. Campo Viejo
    Campo Viejo is a popular Spanish Rioja wine brand known for its approachable, fruit-forward style and wide international distribution.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2fad304448190b3f6f0350a1e151d completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbeabe081909e3d02676293e8b2 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002ed2ddf0819083be2dd80810ac78 completed May 10, 2026, 7:08 a.m.
NED2 Entity disambiguation (via description) batch_6a002f8fdefc8190bf893c7dc22c9f0b completed May 10, 2026, 7:11 a.m.
Created at: April 10, 2026, 5:08 a.m.