Triple

T2678309
Position Surface form Disambiguated ID Type / Status
Subject Nacho Gil E56512 entity
Predicate participantIn P149 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: [Nacho Gil, participantIn, Segunda División]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Segunda División
Context triple: [Nacho Gil, participantIn, 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. 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.
  • C. 3. Liga
    3. Liga is the third tier of professional football in Germany, sitting below the Bundesliga and 2. Bundesliga in the national league system.
  • D. 2. Bundesliga
    The 2. Bundesliga is the second-highest division in the German football league system, sitting directly below the Bundesliga and featuring professional clubs competing for promotion to the top tier.
  • E. La Liga
    La Liga is Spain’s top professional football division, renowned as one of the world’s strongest leagues and home to clubs like Real Madrid and FC Barcelona.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b697fc8190a5ec8b75ee2ad238 completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0681f3c8190898e58f3138b16fa completed March 10, 2026, 4:39 a.m.
Created at: March 6, 2026, 9:54 p.m.