Triple

T12006972
Position Surface form Disambiguated ID Type / Status
Subject Faro E285804 entity
Predicate hasPart P35 FINISHED
Object Cidade Velha
Cidade Velha is the historic old town district of Faro, Portugal, known for its preserved medieval walls, cobbled streets, and landmark cathedral.
E960375 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: Cidade Velha | Statement: [Faro, hasPart, Cidade Velha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cidade Velha
Context triple: [Faro, hasPart, Cidade Velha]
  • A. Cidade Velha
    Cidade Velha is the historic core of Belém do Pará in northern Brazil, known for its colonial-era architecture, churches, and riverside heritage.
  • B. Ciudad Vieja
    Ciudad Vieja is the historic old town of Montevideo, Uruguay, known for its colonial architecture, cultural landmarks, and vibrant portside atmosphere.
  • C. Kota Tua
    Kota Tua is Jakarta’s historic old town district, known for its preserved Dutch colonial architecture, museums, and vibrant public squares.
  • D. City of Tavira
    The City of Tavira is a historic coastal town in Portugal’s Algarve region, known for its well-preserved architecture, Roman bridge, and scenic setting along the Gilão River.
  • E. Ciutat Vella
    Ciutat Vella is Barcelona’s historic city center, known for its medieval streets, Gothic architecture, and major cultural landmarks.
  • 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: Cidade Velha
Triple: [Faro, hasPart, Cidade Velha]
Generated description
Cidade Velha is the historic old town district of Faro, Portugal, known for its preserved medieval walls, cobbled streets, and landmark cathedral.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cidade Velha
Target entity description: Cidade Velha is the historic old town district of Faro, Portugal, known for its preserved medieval walls, cobbled streets, and landmark cathedral.
  • A. Cidade Velha
    Cidade Velha is the historic core of Belém do Pará in northern Brazil, known for its colonial-era architecture, churches, and riverside heritage.
  • B. Ciudad Vieja
    Ciudad Vieja is the historic old town of Montevideo, Uruguay, known for its colonial architecture, cultural landmarks, and vibrant portside atmosphere.
  • C. Kota Tua
    Kota Tua is Jakarta’s historic old town district, known for its preserved Dutch colonial architecture, museums, and vibrant public squares.
  • D. City of Tavira
    The City of Tavira is a historic coastal town in Portugal’s Algarve region, known for its well-preserved architecture, Roman bridge, and scenic setting along the Gilão River.
  • E. Ciutat Vella
    Ciutat Vella is Barcelona’s historic city center, known for its medieval streets, Gothic architecture, and major cultural landmarks.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c5cfc08190821e4b2940c51416 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b1570208190a08c64e028f67d81 completed May 1, 2026, 11:14 a.m.
NEDg Description generation batch_69f48fc3baac8190af87b55164f00b26 completed May 1, 2026, 11:34 a.m.
NED2 Entity disambiguation (via description) batch_69f495ab52788190a886f7014267f8e2 completed May 1, 2026, 11:59 a.m.
Created at: April 8, 2026, 9:46 p.m.