Triple

T1966783
Position Surface form Disambiguated ID Type / Status
Subject Rota Naval Base E42705 entity
Predicate nearbyCity P350 FINISHED
Object Cádiz E29037 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: Cádiz | Statement: [Rota Naval Base, nearbyCity, Cádiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cádiz
Context triple: [Rota Naval Base, nearbyCity, Cádiz]
  • A. Cadiz chosen
    Cádiz is an ancient port city in southwestern Spain that historically served as a major hub for transatlantic Spanish galleon trade and remains known for its maritime heritage and coastal charm.
  • B. Huelva
    Huelva is a coastal city and province in southwestern Spain known for its Andalusian culture, Atlantic beaches, and historical ties to Christopher Columbus’s voyages.
  • C. Málaga
    Málaga is a historic port city on Spain’s Costa del Sol, renowned for its Mediterranean beaches, rich Andalusian culture, and as the birthplace of artist Pablo Picasso.
  • D. Jerez de la Frontera
    Jerez de la Frontera is a historic city in southwestern Spain renowned for its sherry wine production, flamenco heritage, and equestrian traditions.
  • E. Almería
    Almería is a coastal city and province in southeastern Spain known for its arid climate, historic Alcazaba fortress, and extensive greenhouse agriculture.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3cd47388190998b5f6800141c92 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b235511e848190897493ab54d2f198 completed March 12, 2026, 3:38 a.m.
Created at: March 4, 2026, 7:36 p.m.