Triple

T2195539
Position Surface form Disambiguated ID Type / Status
Subject Club Olimpia E49962 entity
Predicate region P40 FINISHED
Object Gran Asunción E98396 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: Gran Asunción | Statement: [Club Olimpia, region, Gran Asunción]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gran Asunción
Context triple: [Club Olimpia, region, Gran Asunción]
  • A. Santa Cruz de la Sierra
    Santa Cruz de la Sierra is Bolivia’s largest and most populous city, a major economic hub in the country’s eastern lowlands known for its rapid growth and vibrant commercial activity.
  • B. Humaitá
    Humaitá is a historic town in southern Paraguay known for its strategic role and heavily fortified position during the Paraguayan War.
  • C. Puerto Gaitán
    Puerto Gaitán is a Colombian town and municipality known for its oil production, cattle ranching, and location in the eastern plains (Llanos) region.
  • D. Asuncion
    Asuncion is a remote volcanic island in the Northern Mariana Islands, known for its steep stratovolcano and relatively undisturbed natural environment.
  • E. Asunción chosen
    Asunción is the capital and largest city of Paraguay, located along the Paraguay River and serving as the country’s main political, cultural, and economic 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf764e348190896af2aeb5520038 completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5db7af9881908348ce1ad35f247a completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:46 p.m.