Triple

T6866628
Position Surface form Disambiguated ID Type / Status
Subject North Tyneside E158416 entity
Predicate hasLandmark P105 FINISHED
Object Spanish City E606327 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: Spanish City | Statement: [North Tyneside, hasLandmark, Spanish City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spanish City
Context triple: [North Tyneside, hasLandmark, Spanish City]
  • A. Spanish City chosen
    Spanish City is a historic seaside leisure complex in Whitley Bay, England, known for its distinctive white dome and role as a local entertainment landmark.
  • B. Spanish Town
    Spanish Town is a historic Jamaican city that served as the island’s former capital and remains an important cultural and administrative center.
  • C. City of Havana
    The City of Havana is the capital and largest city of Cuba, renowned for its historic architecture, vibrant cultural life, and significant political and economic role in the country.
  • D. Ciudad Vieja
    Ciudad Vieja is the historic old town of Montevideo, Uruguay, known for its colonial architecture, cultural landmarks, and vibrant portside atmosphere.
  • E. Greater Havana
    Greater Havana is the metropolitan area encompassing Havana, Cuba’s capital city and its surrounding municipalities, forming the country’s largest urban 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a5ef848190b6b9a11a3fbdb384 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74292922c8190a0d3ee6f74ff672c completed March 28, 2026, 2:53 a.m.
Created at: March 27, 2026, 2:21 p.m.