Triple

T35881039
Position Surface form Disambiguated ID Type / Status
Subject Club Atlético Vélez Sarsfield E1037506 entity
Predicate notableCompetition P748 FINISHED
Object Copa Libertadores 1994
Copa Libertadores 1994 was the 35th edition of South America's premier club football tournament, famously won by Argentine side Vélez Sarsfield.
E2160170 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: Copa Libertadores 1994 | Statement: [Club Atlético Vélez Sarsfield, notableCompetition, Copa Libertadores 1994]
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: Copa Libertadores 1994
Triple: [Club Atlético Vélez Sarsfield, notableCompetition, Copa Libertadores 1994]
Generated description
Copa Libertadores 1994 was the 35th edition of South America's premier club football tournament, famously won by Argentine side Vélez Sarsfield.

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_69f76e1f4d748190bb55594d8441d70e completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7aa0542948190895660adfa2b56a8 completed May 3, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38a4f6c3b88190b435e6b2d1a257ce completed June 22, 2026, 2:59 a.m.
NEDg Description generation batch_6a38a71bac108190aae2116a581e1fa9 completed June 22, 2026, 3:08 a.m.
NED2 Entity disambiguation (via description) batch_6a38a7909c688190b7512b5cdd95f6d2 completed June 22, 2026, 3:10 a.m.
Created at: May 3, 2026, 4:06 p.m.