Triple

T36332978
Position Surface form Disambiguated ID Type / Status
Subject 1. FC Saarbrücken E894702 entity
Predicate countryPlayedIn P10863 FINISHED
Object Germany E1728 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: Germany | Statement: [1. FC Saarbrücken, countryPlayedIn, Germany]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryPlayedIn
Context triple: [1. FC Saarbrücken, countryPlayedIn, Germany]
  • A. hasPlayedInCountry chosen
    Indicates that an entity (typically a person or team) has participated in a game, match, or performance within a specified country.
  • B. isPlayedIn
    Indicates that an instance of a game, sport, or performance takes place within or is hosted at a particular location or venue.
  • C. playsOrPlayedIn
    Indicates that an entity participates or has participated as a performer or player in a particular event, production, team, or activity.
  • D. alsoPlayedIn
    Indicates that an entity (such as a person or performer) participated or appeared in another work, production, or context in addition to the one already referenced.
  • E. endedInCountry
    Indicates that an event, process, or entity’s existence or occurrence concluded within the boundaries of a specified country.
  • F. None of above.

Provenance (4 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_69f76e4dcf088190a6c3216c209cab52 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a03008316dc8190a9f6faf48d25a4f8 completed May 12, 2026, 10:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a39a30666e08190b49fda5e72180700 completed June 22, 2026, 9:03 p.m.
PD Predicate disambiguation batch_6a030023e66881909ea79f1365ab538a completed May 12, 2026, 10:25 a.m.
Created at: May 3, 2026, 4:09 p.m.