Triple

T33260688
Position Surface form Disambiguated ID Type / Status
Subject Clásico Chapín E851501 entity
Predicate alsoKnownAs P39 FINISHED
Object Clásico del Fútbol Guatemalteco
Clásico del Fútbol Guatemalteco is the most prominent football rivalry match in Guatemala, traditionally contested between the country’s two most successful and popular clubs.
E2044234 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: Clásico del Fútbol Guatemalteco | Statement: [Clásico Chapín, alsoKnownAs, Clásico del Fútbol Guatemalteco]
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: Clásico del Fútbol Guatemalteco
Triple: [Clásico Chapín, alsoKnownAs, Clásico del Fútbol Guatemalteco]
Generated description
Clásico del Fútbol Guatemalteco is the most prominent football rivalry match in Guatemala, traditionally contested between the country’s two most successful and popular clubs.

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_69f34963135c819084e7f1d483421f00 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6de193eb081908fd560627b3105a9 completed May 3, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35391830008190aecc808c80e957b2 completed June 19, 2026, 12:42 p.m.
NEDg Description generation batch_6a353ae6960081909db529aeb306427a completed June 19, 2026, 12:49 p.m.
NED2 Entity disambiguation (via description) batch_6a353ba955bc8190a11654aeedea59cd completed June 19, 2026, 12:52 p.m.
Created at: May 1, 2026, 1:31 a.m.