Triple

T22143877
Position Surface form Disambiguated ID Type / Status
Subject Recife metropolitan region E547234 entity
Predicate hasMunicipality P847 FINISHED
Object Carpina
Carpina is a municipality in the Brazilian state of Pernambuco that forms part of the Recife metropolitan area.
E1522006 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: Carpina | Statement: [Recife metropolitan region, hasMunicipality, Carpina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carpina
Context triple: [Recife metropolitan region, hasMunicipality, Carpina]
  • A. Vacariça
    Vacariça is a civil parish in the municipality of Mealhada, located in Portugal’s Centro region.
  • B. Cainteña
    Cainteña is the Spanish-derived demonym referring to a female resident or native of Cainta, a municipality in the province of Rizal in the Philippines.
  • C. Reinosa
    Reinosa is a small industrial and service-oriented town in northern Spain, located in the autonomous community of Cantabria near the headwaters of the Ebro River.
  • D. Carnota
    Carnota is a coastal municipality in Galicia, northwestern Spain, known for its long sandy beach and one of the largest traditional stone granaries (hórreos) in the region.
  • E. Rauco
    Rauco is a rural municipality and commune in central Chile’s Maule Region, known for its agricultural activities and proximity to the city of Curicó.
  • 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: Carpina
Triple: [Recife metropolitan region, hasMunicipality, Carpina]
Generated description
Carpina is a municipality in the Brazilian state of Pernambuco that forms part of the Recife metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carpina
Target entity description: Carpina is a municipality in the Brazilian state of Pernambuco that forms part of the Recife metropolitan area.
  • A. Vacariça
    Vacariça is a civil parish in the municipality of Mealhada, located in Portugal’s Centro region.
  • B. Cainteña
    Cainteña is the Spanish-derived demonym referring to a female resident or native of Cainta, a municipality in the province of Rizal in the Philippines.
  • C. Reinosa
    Reinosa is a small industrial and service-oriented town in northern Spain, located in the autonomous community of Cantabria near the headwaters of the Ebro River.
  • D. Carnota
    Carnota is a coastal municipality in Galicia, northwestern Spain, known for its long sandy beach and one of the largest traditional stone granaries (hórreos) in the region.
  • E. Rauco
    Rauco is a rural municipality and commune in central Chile’s Maule Region, known for its agricultural activities and proximity to the city of Curicó.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129c045448190b3d189cdb8c0d2fd completed April 28, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a96fe404481908a6b27dcf1406dfb completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a97e509a88190a7f316cf340d010a completed May 18, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0a987daa208190bab5b7adec1913e8 completed May 18, 2026, 4:41 a.m.
Created at: April 16, 2026, 8:32 p.m.