Triple

T6392901
Position Surface form Disambiguated ID Type / Status
Subject Jerzy Podbrożny E143870 entity
Predicate leagueParticipatedIn P2209 FINISHED
Object Segunda División E149318 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: Segunda División | Statement: [Jerzy Podbrożny, leagueParticipatedIn, Segunda División]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Segunda División
Context triple: [Jerzy Podbrożny, leagueParticipatedIn, Segunda División]
  • A. Segunda División chosen
    Segunda División is the second tier of professional football in Spain, sitting directly below La Liga in the league system.
  • B. Segunda División B
    Segunda División B was the former third tier of the Spanish football league system, featuring semi-professional clubs competing below La Liga and the Segunda División.
  • C. Primera División de Ascenso
    Primera División de Ascenso is the second tier of professional football in Guatemala, sitting directly below the Liga Nacional in the country's league system.
  • D. Primera División
    Primera División is the top professional football league in Argentina, featuring the country’s leading clubs in its highest competitive tier.
  • E. La Ligua
    La Ligua is a Chilean city known for its textile industry and traditional sweets, serving as an important commercial and cultural center in the Valparaíso Region.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0687f5c6c81909c835329c996b311 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6388f42648190adbc2d1c1efa75a5 completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:34 p.m.