Triple

T8005506
Position Surface form Disambiguated ID Type / Status
Subject Andrea Barzagli E186354 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Pistoiese E609626 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: Pistoiese | Statement: [Andrea Barzagli, memberOfSportsTeam, Pistoiese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pistoiese
Context triple: [Andrea Barzagli, memberOfSportsTeam, Pistoiese]
  • A. Pistoiese chosen
    Pistoiese is an Italian football club known for competing in the lower professional tiers and for having been managed early in his coaching career by Marcello Lippi.
  • B. Paissandu
    Paissandu is a central neighborhood in Recife, Brazil, known for its historic urban character and proximity to key cultural and commercial areas of the city.
  • C. Vélez
    Vélez is a Spanish-language surname common in Latin America and Spain, borne by various notable figures in arts, sports, and public life.
  • D. Vélez
    Vélez is a municipality in Colombia’s Santander Department known for its colonial heritage and traditional sweets.
  • E. Paredes
    Paredes is a municipality in northern Portugal known for its historical heritage and proximity to the Porto metropolitan area.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf72fc08190aa78b97c1ab92f90 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe127afe0819092d5ad0c430fadc4 completed March 31, 2026, 2:58 p.m.
Created at: March 30, 2026, 5:18 p.m.