Triple

T1127023
Position Surface form Disambiguated ID Type / Status
Subject S.S. Lazio E24742 entity
Predicate league P888 FINISHED
Object Serie A E28425 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: Serie A | Statement: [S.S. Lazio, league, Serie A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serie A
Context triple: [S.S. Lazio, league, Serie A]
  • A. Serie A chosen
    Serie A is Italy’s top professional football league, renowned for its historic clubs, tactical style of play, and world-class players.
  • B. Campione d’Italia
    Campione d’Italia is a small Italian exclave surrounded by Switzerland on the shores of Lake Lugano, known for its unique legal and economic status.
  • C. 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.
  • D. Porto Azzurro
    Porto Azzurro is a picturesque coastal town and popular tourist resort on the Italian island of Elba, known for its scenic harbor and historic charm.
  • E. Argentine Primera División
    The Argentine Primera División is the top professional football league in Argentina and one of the most competitive and historic leagues in South America.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbdc2718819094f5519ffb56993b completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac539fc3708190b0b3dec5d5c73a71 completed March 7, 2026, 4:34 p.m.
Created at: March 1, 2026, 7:44 p.m.