Triple

T18568046
Position Surface form Disambiguated ID Type / Status
Subject Deco E453805 entity
Predicate playedFor P2170 FINISHED
Object Salgueiros
Salgueiros is a Portuguese football club known for being one of the early professional teams in the career of midfielder Deco.
E1330663 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: Salgueiros | Statement: [Deco, playedFor, Salgueiros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salgueiros
Context triple: [Deco, playedFor, Salgueiros]
  • A. Arraiolos
    Arraiolos is a Portuguese town renowned for its traditional hand-embroidered wool rugs and historic hilltop castle.
  • B. Cacilhas
    Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
  • C. Paissandu
    Paissandu is a central neighborhood in Recife, Brazil, known for its historic urban character and proximity to key cultural and commercial areas of the city.
  • D. Mosteiros
    Mosteiros is a coastal municipality on the island of Fogo in Cape Verde, known for its volcanic landscapes, coffee production, and black-sand beaches.
  • E. Mosteiros
    Mosteiros is a coastal civil parish on the western tip of São Miguel Island in the Azores, known for its volcanic rock formations, natural swimming pools, and scenic Atlantic views.
  • 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: Salgueiros
Triple: [Deco, playedFor, Salgueiros]
Generated description
Salgueiros is a Portuguese football club known for being one of the early professional teams in the career of midfielder Deco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Salgueiros
Target entity description: Salgueiros is a Portuguese football club known for being one of the early professional teams in the career of midfielder Deco.
  • A. Arraiolos
    Arraiolos is a Portuguese town renowned for its traditional hand-embroidered wool rugs and historic hilltop castle.
  • B. Cacilhas
    Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
  • C. Paissandu
    Paissandu is a central neighborhood in Recife, Brazil, known for its historic urban character and proximity to key cultural and commercial areas of the city.
  • D. Mosteiros
    Mosteiros is a coastal municipality on the island of Fogo in Cape Verde, known for its volcanic landscapes, coffee production, and black-sand beaches.
  • E. Mosteiros
    Mosteiros is a coastal civil parish on the western tip of São Miguel Island in the Azores, known for its volcanic rock formations, natural swimming pools, and scenic Atlantic views.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53affc3e08190b4d16b5ccb0bddbc completed April 19, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a049aecd7988190aeaba90194c93f12 completed May 13, 2026, 3:38 p.m.
NEDg Description generation batch_6a049f08e2608190838c6f8dc09cfa0d completed May 13, 2026, 3:55 p.m.
NED2 Entity disambiguation (via description) batch_6a049f971c34819085b6a3acab8b3ef8 completed May 13, 2026, 3:58 p.m.
Created at: April 10, 2026, 11:43 a.m.