Triple

T15606794
Position Surface form Disambiguated ID Type / Status
Subject Cantanhede E375178 entity
Predicate hasParish P35 FINISHED
Object Tocha
Tocha is a civil parish in the municipality of Cantanhede, located in Portugal’s Coimbra District.
 E1166356 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: Tocha | Statement: [Cantanhede, hasParish, Tocha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tocha
Context triple: [Cantanhede, hasParish, Tocha]
  • A. Puquina
    Puquina is an extinct and poorly documented indigenous language once spoken in the Andean region of South America, particularly around Lake Titicaca.
  • B. La Tola
    La Tola is a traditional historic neighborhood in central Quito, Ecuador, known for its colonial-era architecture and proximity to the El Panecillo hill.
  • C. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • D. Yamanto
    Yamanto is a residential suburb in the City of Ipswich, Queensland, Australia, known for its family-friendly housing estates and growing retail and service amenities.
  • E. Taquara
    Taquara is a residential neighborhood in the West Zone of Rio de Janeiro, Brazil, known for its mix of urban development and remaining green areas.
  • 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: Tocha
Triple: [Cantanhede, hasParish, Tocha]
Generated description
Tocha is a civil parish in the municipality of Cantanhede, located in Portugal’s Coimbra District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tocha
Target entity description: Tocha is a civil parish in the municipality of Cantanhede, located in Portugal’s Coimbra District.
  • A. Puquina
    Puquina is an extinct and poorly documented indigenous language once spoken in the Andean region of South America, particularly around Lake Titicaca.
  • B. La Tola
    La Tola is a traditional historic neighborhood in central Quito, Ecuador, known for its colonial-era architecture and proximity to the El Panecillo hill.
  • C. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • D. Yamanto
    Yamanto is a residential suburb in the City of Ipswich, Queensland, Australia, known for its family-friendly housing estates and growing retail and service amenities.
  • E. Taquara
    Taquara is a residential neighborhood in the West Zone of Rio de Janeiro, Brazil, known for its mix of urban development and remaining green areas.
  • 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.