Triple

T6338398
Position Surface form Disambiguated ID Type / Status
Subject Sport Boys Association E142555 entity
Predicate league P888 FINISHED
Object Liga 1 E292003 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 1 | Statement: [Sport Boys Association, league, Liga 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liga 1
Context triple: [Sport Boys Association, league, Liga 1]
  • A. Liga 1 chosen
    Liga 1 is the top-tier professional football league in Indonesia, featuring the country’s leading clubs in its premier competition.
  • B. Liga Nacional
    Liga Nacional is the top professional football league in Guatemala, featuring the country’s premier clubs in its highest competitive division.
  • C. Milli Lig
    Milli Lig was the original name of Turkey’s top professional football league, which later became known as the Süper Lig.
  • D. China League One
    China League One is the second tier of professional football in the Chinese league system, sitting below the Chinese Super League.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0654e11988190b708426d3003716a completed March 22, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c604307b388190bbc59f5f57cb4bbe completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:30 p.m.