Triple

T5592405
Position Surface form Disambiguated ID Type / Status
Subject CD Olimpia E146910 entity
Predicate shortName P43 FINISHED
Object Olimpia E49962 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: Olimpia | Statement: [CD Olimpia, shortName, Olimpia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olimpia
Context triple: [CD Olimpia, shortName, Olimpia]
  • A. Olimpia chosen
    Olimpia is a prominent Paraguayan football club based in Asunción, known for its historic domestic success and Copa Libertadores titles.
  • B. Olympiada
    Olympiada is a coastal village in northern Greece known for its proximity to the ancient city of Stagira, birthplace of the philosopher Aristotle.
  • C. Olympic Capital
    Olympic Capital is the nickname of Lausanne, Switzerland, reflecting its role as the long-time headquarters of the International Olympic Committee and a global hub for Olympic sport governance.
  • D. Olympia, Greece
    Olympia, Greece is an ancient sanctuary in the Peloponnese renowned as the original site of the Olympic Games in classical antiquity.
  • E. Aigio
    Aigio is a coastal town in northern Peloponnese, Greece, known for its port on the Gulf of Corinth and its role as a regional commercial and agricultural center.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020bb08648190ab1f66cc3e897e6d completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0286b4d2c8190a3224f3082316dc8 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:38 p.m.