Triple

T8183369
Position Surface form Disambiguated ID Type / Status
Subject Minho region E191121 entity
Predicate hasMajorCity P316 FINISHED
Object Caminha
Caminha is a historic coastal town and municipality in northern Portugal, situated at the mouth of the Minho River near the Spanish border.
 E716726 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: Caminha | Statement: [Minho region, hasMajorCity, Caminha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Caminha
Context triple: [Minho region, hasMajorCity, Caminha]
  • A. Encruzilhada
    Encruzilhada is a neighborhood in the city of Recife, Brazil, known for its busy commercial areas and urban residential character.
  • B. A Serrana
    A Serrana is a Portuguese opera composed by Alfredo Keil, recognized as one of the significant works in 19th-century Portuguese musical theater.
  • C. Pasochoa
    Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
  • D. Marchigüe
    Marchigüe is a rural commune and town in central Chile’s O’Higgins Region, known for its agricultural activities and traditional countryside character.
  • E. Camino
    Camino is a small municipality in Italy’s Piedmont region, situated within the historic, hilly wine-producing area of Monferrato.
  • 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: Caminha
Triple: [Minho region, hasMajorCity, Caminha]
Generated description
Caminha is a historic coastal town and municipality in northern Portugal, situated at the mouth of the Minho River near the Spanish border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Caminha
Target entity description: Caminha is a historic coastal town and municipality in northern Portugal, situated at the mouth of the Minho River near the Spanish border.
  • A. Encruzilhada
    Encruzilhada is a neighborhood in the city of Recife, Brazil, known for its busy commercial areas and urban residential character.
  • B. A Serrana
    A Serrana is a Portuguese opera composed by Alfredo Keil, recognized as one of the significant works in 19th-century Portuguese musical theater.
  • C. Pasochoa
    Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
  • D. Marchigüe
    Marchigüe is a rural commune and town in central Chile’s O’Higgins Region, known for its agricultural activities and traditional countryside character.
  • E. Camino
    Camino is a small municipality in Italy’s Piedmont region, situated within the historic, hilly wine-producing area of Monferrato.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c4f4ef88190ad346edad14b67ee completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf8e8f0c819096f449760ce0d240 completed April 1, 2026, 6:47 a.m.
NEDg Description generation batch_69ccc315132c8190bb0ad49232ccc3b8 completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd87585148190a2d8b81ab352d123 completed April 1, 2026, 8:33 a.m.
Created at: March 30, 2026, 5:41 p.m.