Triple

T27757185
Position Surface form Disambiguated ID Type / Status
Subject Envigado Fútbol Club E701363 entity
Predicate homeStadium P890 FINISHED
Object Estadio Polideportivo Sur
Estadio Polideportivo Sur is a multi-purpose football stadium in Envigado, Colombia, best known as the home ground of Envigado Fútbol Club.
E1804576 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: Estadio Polideportivo Sur | Statement: [Envigado Fútbol Club, homeStadium, Estadio Polideportivo Sur]
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: Estadio Polideportivo Sur
Triple: [Envigado Fútbol Club, homeStadium, Estadio Polideportivo Sur]
Generated description
Estadio Polideportivo Sur is a multi-purpose football stadium in Envigado, Colombia, best known as the home ground of Envigado Fútbol Club.

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_69ef6a5193808190816eb7d0020b2d87 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f637629edc8190a3268b23372cd2ad completed May 2, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15d77bd5d48190bdf59359fd0ddaf4 completed May 26, 2026, 5:25 p.m.
NEDg Description generation batch_6a15d94968e08190a70b9d0e359c28fb completed May 26, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_6a15d9c2a704819095e2c65e42d63a17 completed May 26, 2026, 5:34 p.m.
Created at: April 27, 2026, 4:24 p.m.