Triple

T20169640
Position Surface form Disambiguated ID Type / Status
Subject Isabel dos Santos E491922 entity
Predicate shareholderOf P24510 FINISHED
Object Nos (Portugal)
Nos (Portugal) is a major Portuguese telecommunications and media company that provides mobile, fixed-line, internet, and pay-TV services.
 E1414465 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: Nos (Portugal) | Statement: [Isabel dos Santos, shareholderOf, Nos (Portugal)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nos (Portugal)
Context triple: [Isabel dos Santos, shareholderOf, Nos (Portugal)]
  • A. Luso
    Luso is the former colonial-era name of the city now known as Luena, the capital of Moxico Province in eastern Angola.
  • B. Luso
    Luso is a Portuguese civil parish in the municipality of Mealhada, known for its mineral water springs and proximity to the Bussaco Forest.
  • C. Góis
    Góis is a small municipality in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • D. Portogruaro
    Portogruaro is a historic town in northeastern Italy’s Veneto region, known for its medieval architecture and canals.
  • E. Almeida, Portugal
    Almeida, Portugal is a historic fortified village in the Guarda District known for its distinctive star-shaped 17th-century defensive walls near the Spanish border.
  • 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: Nos (Portugal)
Triple: [Isabel dos Santos, shareholderOf, Nos (Portugal)]
Generated description
Nos (Portugal) is a major Portuguese telecommunications and media company that provides mobile, fixed-line, internet, and pay-TV services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nos (Portugal)
Target entity description: Nos (Portugal) is a major Portuguese telecommunications and media company that provides mobile, fixed-line, internet, and pay-TV services.
  • A. Luso
    Luso is the former colonial-era name of the city now known as Luena, the capital of Moxico Province in eastern Angola.
  • B. Luso
    Luso is a Portuguese civil parish in the municipality of Mealhada, known for its mineral water springs and proximity to the Bussaco Forest.
  • C. Góis
    Góis is a small municipality in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • D. Portogruaro
    Portogruaro is a historic town in northeastern Italy’s Veneto region, known for its medieval architecture and canals.
  • E. Almeida, Portugal
    Almeida, Portugal is a historic fortified village in the Guarda District known for its distinctive star-shaped 17th-century defensive walls near the Spanish border.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66846f4ec81908b0dc6a6e0ec27dd completed April 20, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083482950c8190aff6eb232ebbdd79 completed May 16, 2026, 9:10 a.m.
NEDg Description generation batch_6a08354678488190a04794496edc4333 completed May 16, 2026, 9:13 a.m.
NED2 Entity disambiguation (via description) batch_6a08360def9c8190b8a2d48814ee13c8 completed May 16, 2026, 9:17 a.m.
Created at: April 11, 2026, 11:35 p.m.