Triple

T6443268
Position Surface form Disambiguated ID Type / Status
Subject Carretera Central E138277 entity
Predicate connects P390 FINISHED
Object Las Tunas E176133 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: Las Tunas | Statement: [Carretera Central, connects, Las Tunas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Tunas
Context triple: [Carretera Central, connects, Las Tunas]
  • A. Las Tunas chosen
    Las Tunas is a city and provincial capital in eastern Cuba known for its cultural traditions and role as a regional economic center.
  • B. Cienfuegos
    Cienfuegos is a coastal city in central Cuba known for its French-influenced architecture and historic bay.
  • C. Las Tunas Province
    Las Tunas Province is an eastern Cuban province known for its agricultural economy, especially cattle and sugarcane production, and its role as a regional transport and cultural center.
  • D. 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.”
  • E. 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.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698b030481908b7bb4e16a8b3339 completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723aba0f0819091ba9aa4184bf1d5 completed March 28, 2026, 12:41 a.m.
Created at: March 22, 2026, 4:46 p.m.