Triple

T23454956
Position Surface form Disambiguated ID Type / Status
Subject Clube Náutico Capibaribe E567893 entity
Predicate nickname P55 FINISHED
Object Timbu
Timbu is the popular nickname of Brazilian football club Clube Náutico Capibaribe, commonly used by its supporters and in local media.
 E1587395 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: Timbu | Statement: [Clube Náutico Capibaribe, nickname, Timbu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Timbu
Context triple: [Clube Náutico Capibaribe, nickname, Timbu]
  • A. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • B. Timbaki
    Timbaki is a small coastal town in southern Crete, Greece, known for its agricultural production and proximity to archaeological sites such as Phaistos.
  • C. Tamambo
    Tamambo is an Oceanic Austronesian language spoken primarily on Malo Island in Vanuatu.
  • D. Butambala
    Butambala is a county in the Buganda Kingdom of central Uganda, known for its predominantly rural communities and agricultural activities.
  • E. Tallimba
    Tallimba is a small rural locality in the Riverina region of New South Wales, Australia, situated within an agricultural area west of the town of West Wyalong.
  • 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: Timbu
Triple: [Clube Náutico Capibaribe, nickname, Timbu]
Generated description
Timbu is the popular nickname of Brazilian football club Clube Náutico Capibaribe, commonly used by its supporters and in local media.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Timbu
Target entity description: Timbu is the popular nickname of Brazilian football club Clube Náutico Capibaribe, commonly used by its supporters and in local media.
  • A. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • B. Timbaki
    Timbaki is a small coastal town in southern Crete, Greece, known for its agricultural production and proximity to archaeological sites such as Phaistos.
  • C. Tamambo
    Tamambo is an Oceanic Austronesian language spoken primarily on Malo Island in Vanuatu.
  • D. Butambala
    Butambala is a county in the Buganda Kingdom of central Uganda, known for its predominantly rural communities and agricultural activities.
  • E. Tallimba
    Tallimba is a small rural locality in the Riverina region of New South Wales, Australia, situated within an agricultural area west of the town of West Wyalong.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a695fed08190bfa160e69200546d completed April 29, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67c0c2d081909da467271800b69d completed May 19, 2026, 1:38 p.m.
NEDg Description generation batch_6a0c7218a358819082d8b19b57b61013 completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c770386a8819098358513016ae5ab completed May 19, 2026, 2:43 p.m.
Created at: April 17, 2026, 5:53 p.m.