Triple

T27414024
Position Surface form Disambiguated ID Type / Status
Subject Estadio TSM Corona E692841 entity
Predicate partOf P40 FINISHED
Object Territorio Santos Modelo
Territorio Santos Modelo is a modern sports and entertainment complex in Torreón, Mexico, best known as the home facility of the Santos Laguna football club.
 E1772666 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: Territorio Santos Modelo | Statement: [Estadio TSM Corona, partOf, Territorio Santos Modelo]
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: Territorio Santos Modelo
Triple: [Estadio TSM Corona, partOf, Territorio Santos Modelo]
Generated description
Territorio Santos Modelo is a modern sports and entertainment complex in Torreón, Mexico, best known as the home facility of the Santos Laguna football 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_69ef5208617081908f731d312e0fd1bc completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d18f3ec8190b1e10f87305e6684 completed May 2, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12b2442a0c8190bcf7cb3f00ef5e51 completed May 24, 2026, 8:09 a.m.
NEDg Description generation batch_6a12b3ac2c8481908da47312d238fa0c completed May 24, 2026, 8:15 a.m.
NED2 Entity disambiguation (via description) batch_6a12b42bd380819087489bdeb2dbfab7 completed May 24, 2026, 8:17 a.m.
Created at: April 27, 2026, 12:33 p.m.