Triple

T10436350
Position Surface form Disambiguated ID Type / Status
Subject CSU Asesoft Ploiești E246049 entity
Predicate league P888 FINISHED
Object Liga Națională E864036 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: Liga Națională | Statement: [CSU Asesoft Ploiești, league, Liga Națională]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liga Națională
Context triple: [CSU Asesoft Ploiești, league, Liga Națională]
  • A. Liga Națională chosen
    Liga Națională is Romania’s top-tier professional basketball league, featuring the country’s leading clubs in national competition.
  • B. Milli Lig
    Milli Lig was the original name of Turkey’s top professional football league, which later became known as the Süper Lig.
  • C. Erovnuli Liga
    Erovnuli Liga is the top professional football division in Georgia, featuring the country’s leading clubs in its premier league competition.
  • D. Liga Nacional
    Liga Nacional is the top professional football league in Guatemala, featuring the country’s premier clubs in its highest competitive division.
  • E. Liga Federal
    Liga Federal was a federalist political and military alliance of provinces in the early 19th-century Río de la Plata region that sought regional autonomy and influenced the formation of modern Uruguay and neighboring states.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea843f1c8190afca4a42bc364468 completed April 7, 2026, 11:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f98a2a0819093e029d940c59508 completed April 10, 2026, 6:58 a.m.
Created at: April 6, 2026, 12:14 p.m.