Triple

T25221157
Position Surface form Disambiguated ID Type / Status
Subject Estádio da Madeira E631966 entity
Predicate formerName P65 FINISHED
Object Estádio Engenheiro Rui Alves
Estádio Engenheiro Rui Alves is a football stadium in Funchal, Madeira, Portugal, best known today as Estádio da Madeira, home of C.D. Nacional.
E1700552 NE FINISHED

How this triple was built (2 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: Estádio Engenheiro Rui Alves | Statement: [Estádio da Madeira, formerName, Estádio Engenheiro Rui Alves]
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: Estádio Engenheiro Rui Alves
Triple: [Estádio da Madeira, formerName, Estádio Engenheiro Rui Alves]
Generated description
Estádio Engenheiro Rui Alves is a football stadium in Funchal, Madeira, Portugal, best known today as Estádio da Madeira, home of C.D. Nacional.

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_69e75a8e0f688190a7aebe9a4815e25b completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f47cbe66648190a46a29d187ab2c47 completed May 1, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10ec830d148190a53ae7ff1c5c5885 completed May 22, 2026, 11:53 p.m.
NEDg Description generation batch_6a10edc67f448190b6f8da9b63fd6759 completed May 22, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_6a10ef3e35188190806530f76d78e331 completed May 23, 2026, 12:05 a.m.
Created at: April 21, 2026, 1:03 p.m.