Triple

T32381744
Position Surface form Disambiguated ID Type / Status
Subject Slovenian football leagues E827440 entity
Predicate hasThirdDivision P120627 FINISHED
Object Slovenian Third League
The Slovenian Third League is the third tier of the Slovenian football league system, featuring semi-professional and amateur clubs competing in regional divisions.
E2013252 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: Slovenian Third League | Statement: [Slovenian football leagues, hasThirdDivision, Slovenian Third League]
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: Slovenian Third League
Triple: [Slovenian football leagues, hasThirdDivision, Slovenian Third League]
Generated description
The Slovenian Third League is the third tier of the Slovenian football league system, featuring semi-professional and amateur clubs competing in regional divisions.

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_69f349177ddc8190ab0583f05597056b completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c1cb5598819081094ec74ca36bfa completed May 3, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a347b6d21a88190937022a2039f8852 completed June 18, 2026, 11:12 p.m.
NEDg Description generation batch_6a347e35ff348190a7841752ea25f61c completed June 18, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_6a347e9948608190b1d74a330d44d7db completed June 18, 2026, 11:26 p.m.
Created at: May 1, 2026, 12:51 a.m.