Triple

T16550802
Position Surface form Disambiguated ID Type / Status
Subject Mangualde E402065 entity
Predicate hasParish P35 FINISHED
Object Cunha Baixa
Cunha Baixa is a civil parish in the municipality of Mangualde, located in Portugal’s Viseu District.
E1221053 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: Cunha Baixa | Statement: [Mangualde, hasParish, Cunha Baixa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cunha Baixa
Context triple: [Mangualde, hasParish, Cunha Baixa]
  • A. Carriço
    Carriço is a civil parish within the municipality of Pombal in central Portugal, known for its rural character and local community life.
  • B. Ribeirinha
    Ribeirinha is a civil parish located within the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
  • C. Ribeirinha
    Ribeirinha is a civil parish located on Faial Island in the Azores archipelago of Portugal.
  • D. Ribeira Funda
    Ribeira Funda is a small settlement located in the municipality of Tarrafal de São Nicolau on the island of São Nicolau in Cape Verde.
  • E. Pinheiral
    Pinheiral is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and growing role as a regional educational and residential center.
  • 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: Cunha Baixa
Triple: [Mangualde, hasParish, Cunha Baixa]
Generated description
Cunha Baixa is a civil parish in the municipality of Mangualde, located in Portugal’s Viseu District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cunha Baixa
Target entity description: Cunha Baixa is a civil parish in the municipality of Mangualde, located in Portugal’s Viseu District.
  • A. Carriço
    Carriço is a civil parish within the municipality of Pombal in central Portugal, known for its rural character and local community life.
  • B. Ribeirinha
    Ribeirinha is a civil parish located within the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
  • C. Ribeirinha
    Ribeirinha is a civil parish located on Faial Island in the Azores archipelago of Portugal.
  • D. Ribeira Funda
    Ribeira Funda is a small settlement located in the municipality of Tarrafal de São Nicolau on the island of São Nicolau in Cape Verde.
  • E. Pinheiral
    Pinheiral is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and growing role as a regional educational and residential center.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc451dc8190b571d5010f4017f4 completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006edbd8388190b9a96c1cc5c9119e completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006f7ca0dc8190a75d84d9ffbf83e0 completed May 10, 2026, 11:43 a.m.
NED2 Entity disambiguation (via description) batch_6a00705453c081909e8401024e92b5aa completed May 10, 2026, 11:47 a.m.
Created at: April 10, 2026, 5:15 a.m.