Triple

T6648556
Position Surface form Disambiguated ID Type / Status
Subject Pavel Nedvěd E150761 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Lazio E361099 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: Lazio | Statement: [Pavel Nedvěd, memberOfSportsTeam, Lazio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lazio
Context triple: [Pavel Nedvěd, memberOfSportsTeam, Lazio]
  • A. Lazio
    Lazio is a central Italian region best known for encompassing the nation’s capital, Rome, and its rich historical and cultural heritage.
  • B. Lazio chosen
    Lazio is a major professional football club based in Rome, Italy, known for competing in Serie A and for its passionate fan base and historic rivalry with AS Roma.
  • C. Frosinone
    Frosinone is a city in central Italy that serves as the capital of the province of the same name within the Lazio region.
  • D. Marino, Lazio
    Marino, Lazio is a historic town in Italy’s Alban Hills near Rome, known for its wine production and annual grape festival.
  • E. Pomezia
    Pomezia is a modern industrial and residential town in the Lazio region of central Italy, situated just south of Rome.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b01fea4c8190a21ba7f4c2018c5e completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eed0ef548190b384e37f39830b14 completed March 27, 2026, 8:55 p.m.
Created at: March 27, 2026, 2 p.m.