Triple

T30879387
Position Surface form Disambiguated ID Type / Status
Subject 1999 Copa CONMEBOL E786568 entity
Predicate previousEdition P97 FINISHED
Object 1998 Copa CONMEBOL
The 1998 Copa CONMEBOL was a South American club football tournament organized by CONMEBOL that served as a secondary competition to the Copa Libertadores.
E1935778 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: 1998 Copa CONMEBOL | Statement: [1999 Copa CONMEBOL, previousEdition, 1998 Copa CONMEBOL]
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: 1998 Copa CONMEBOL
Triple: [1999 Copa CONMEBOL, previousEdition, 1998 Copa CONMEBOL]
Generated description
The 1998 Copa CONMEBOL was a South American club football tournament organized by CONMEBOL that served as a secondary competition to the Copa Libertadores.

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_69f224bae17c8190bb3a6a28e3d019df completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f691d99c0c81909eb316731f7d2feb completed May 3, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28c7dfb7548190a607efecaf9c9bf5 completed June 10, 2026, 2:11 a.m.
NEDg Description generation batch_6a28ca92bb888190867151ebeb833f59 completed June 10, 2026, 2:23 a.m.
NED2 Entity disambiguation (via description) batch_6a28cb403a808190a170f5922a7e5bf1 completed June 10, 2026, 2:26 a.m.
Created at: April 29, 2026, 8:48 p.m.