Triple

T11933369
Position Surface form Disambiguated ID Type / Status
Subject Cuba (Beja) E283971 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Cuba (town) E744958 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: Cuba (town) | Statement: [Cuba (Beja), hasMunicipalSeat, Cuba (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cuba (town)
Context triple: [Cuba (Beja), hasMunicipalSeat, Cuba (town)]
  • A. Cuba (municipality) chosen
    Cuba is a municipality in the Beja District of Portugal’s Alentejo region, known for its rural landscape and traditional agricultural activities.
  • B. Santa Clara, Cuba
    Santa Clara, Cuba is a central Cuban city known as a key revolutionary stronghold where Che Guevara led a decisive battle that helped topple the Batista regime.
  • C. Cienfuegos, Cuba
    Cienfuegos, Cuba is a coastal city on the island’s southern shore known for its French-influenced architecture and historic bay, often called the “Pearl of the South.”
  • D. Camagüey, Cuba
    Camagüey, Cuba is a historic central Cuban city known for its colonial architecture, maze-like street layout, and cultural significance as a major provincial capital.
  • E. Pinar del Río, Cuba
    Pinar del Río, Cuba is a western Cuban city and provincial capital known for its rich tobacco-growing region and traditional cigar production.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90305015c81908edb0d9d3d012b2e completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4407cc2388190b0f849fbeed89ab7 completed May 1, 2026, 5:56 a.m.
Created at: April 8, 2026, 9:45 p.m.