Triple

T15606698
Position Surface form Disambiguated ID Type / Status
Subject Sertã E375176 entity
Predicate hasPart P35 FINISHED
Object Cabeçudo
Cabeçudo is a small locality or settlement within the municipality of Sertã in central Portugal.
E1166342 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: Cabeçudo | Statement: [Sertã, hasPart, Cabeçudo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabeçudo
Context triple: [Sertã, hasPart, Cabeçudo]
  • A. Cabeza
    Cabeza is a large bronze head sculpture by Colombian artist Fernando Botero, displayed in Medellín’s Plaza Botero as part of his signature series of monumental, voluminous figures.
  • B. Cachopo
    Cachopo is a rural village and parish in the hills of the Algarve region of southern Portugal, known for its traditional architecture and scenic landscapes.
  • C. Cravinhos
    Cravinhos is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and proximity to the regional hub of Ribeirão Preto.
  • D. Carnaza
    Carnaza is a small island barangay of Daanbantayan in northern Cebu, Philippines, known for its remote beaches and fishing community.
  • E. Campinho
    Campinho is a small village in the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
  • 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: Cabeçudo
Triple: [Sertã, hasPart, Cabeçudo]
Generated description
Cabeçudo is a small locality or settlement within the municipality of Sertã in central Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cabeçudo
Target entity description: Cabeçudo is a small locality or settlement within the municipality of Sertã in central Portugal.
  • A. Cabeza
    Cabeza is a large bronze head sculpture by Colombian artist Fernando Botero, displayed in Medellín’s Plaza Botero as part of his signature series of monumental, voluminous figures.
  • B. Cachopo
    Cachopo is a rural village and parish in the hills of the Algarve region of southern Portugal, known for its traditional architecture and scenic landscapes.
  • C. Cravinhos
    Cravinhos is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and proximity to the regional hub of Ribeirão Preto.
  • D. Carnaza
    Carnaza is a small island barangay of Daanbantayan in northern Cebu, Philippines, known for its remote beaches and fishing community.
  • E. Campinho
    Campinho is a small village in the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7ec08c8190b3842cf3043aea27 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d3541c8190a5a2aa9730260562 completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff578dc9dc8190ae0b1abcd74a6346 completed May 9, 2026, 3:49 p.m.
NED2 Entity disambiguation (via description) batch_69ff586ce89081909ebc1779bb9c4221 completed May 9, 2026, 3:53 p.m.
Created at: April 10, 2026, 4:13 a.m.