Triple

T10819141
Position Surface form Disambiguated ID Type / Status
Subject Mantua E255316 entity
Predicate hasProvinceCapital P3433 FINISHED
Object Pinar del Río E674340 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: Pinar del Río | Statement: [Mantua, hasProvinceCapital, Pinar del Río]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinar del Río
Context triple: [Mantua, hasProvinceCapital, Pinar del Río]
  • A. Pinar del Río
    Pinar del Río is a city in western Cuba known for its tobacco production and as a gateway to the Viñales Valley.
  • B. Camagüey
    Camagüey is one of Cuba’s largest and oldest cities, known for its colonial architecture, maze-like historic center, and status as a key cultural and economic hub in the country’s interior.
  • C. Pinar del Río, Cuba chosen
    Pinar del Río, Cuba is a western Cuban city and provincial capital known for its rich tobacco-growing region and traditional cigar production.
  • D. Cienfuegos
    Cienfuegos is a coastal city in central Cuba known for its French-influenced architecture and historic bay.
  • E. Santiago de Cuba
    Santiago de Cuba is a major city in southeastern Cuba known for its rich Afro-Cuban cultural heritage, historic role in the Cuban Revolution, and vibrant music and carnival traditions.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734492be88190874ea0ba4d0fa643 completed April 9, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb0f9e3a081908163b398d845deeb completed April 14, 2026, 9:26 p.m.
Created at: April 8, 2026, 9:18 p.m.