Triple

T19172279
Position Surface form Disambiguated ID Type / Status
Subject Maranhão E469351 entity
Predicate hasCity P316 FINISHED
Object Pinheiro
Pinheiro is a municipality in the Brazilian state of Maranhão, known regionally as an economic and population center in the Baixada Maranhense area.
E1362566 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: Pinheiro | Statement: [Maranhão, hasCity, Pinheiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinheiro
Context triple: [Maranhão, hasCity, Pinheiro]
  • A. Pinheiro
    Pinheiro is a Portuguese-language surname notably borne by acclaimed Brazilian actress Fernanda Montenegro.
  • B. Pinheiro de Azevedo
    Pinheiro de Azevedo was a Portuguese admiral and politician who served as prime minister during the turbulent post-Carnation Revolution period in the mid-1970s.
  • C. Pinheirinho
    Pinheirinho is a tight, technical corner on Brazil’s Autódromo José Carlos Pace (Interlagos) circuit, known for challenging braking and overtaking maneuvers in motorsport events.
  • D. Espinhal
    Espinhal is a civil parish located in the municipality of Penela in central Portugal, known for its rural landscape and traditional Portuguese village character.
  • E. Pinhal Litoral
    Pinhal Litoral is a subregion in central Portugal known for its mix of coastal areas, industrial activity, and important urban centers such as Leiria.
  • 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: Pinheiro
Triple: [Maranhão, hasCity, Pinheiro]
Generated description
Pinheiro is a municipality in the Brazilian state of Maranhão, known regionally as an economic and population center in the Baixada Maranhense area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pinheiro
Target entity description: Pinheiro is a municipality in the Brazilian state of Maranhão, known regionally as an economic and population center in the Baixada Maranhense area.
  • A. Pinheiro
    Pinheiro is a Portuguese-language surname notably borne by acclaimed Brazilian actress Fernanda Montenegro.
  • B. Pinheiro de Azevedo
    Pinheiro de Azevedo was a Portuguese admiral and politician who served as prime minister during the turbulent post-Carnation Revolution period in the mid-1970s.
  • C. Pinheirinho
    Pinheirinho is a tight, technical corner on Brazil’s Autódromo José Carlos Pace (Interlagos) circuit, known for challenging braking and overtaking maneuvers in motorsport events.
  • D. Espinhal
    Espinhal is a civil parish located in the municipality of Penela in central Portugal, known for its rural landscape and traditional Portuguese village character.
  • E. Pinhal Litoral
    Pinhal Litoral is a subregion in central Portugal known for its mix of coastal areas, industrial activity, and important urban centers such as Leiria.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f16481948190973067eb854da237 completed April 20, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f8ac3304819091fa43ec3f7573b6 completed May 15, 2026, 10:42 a.m.
NEDg Description generation batch_6a06f9cc015c8190a87518c058e2a233 completed May 15, 2026, 10:47 a.m.
NED2 Entity disambiguation (via description) batch_6a06fa3aa394819096ef4b6f3dddba1a completed May 15, 2026, 10:49 a.m.
Created at: April 10, 2026, 12:06 p.m.