Triple

T14567615
Position Surface form Disambiguated ID Type / Status
Subject San Fernando, Cádiz E341824 entity
Predicate locatedNear P294 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: [San Fernando, Cádiz, locatedNear, Cádiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cádiz
Context triple: [San Fernando, Cádiz, locatedNear, 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. Cadiz
    Cadiz is a coastal city in the province of Negros Occidental in the Philippines, known for its fishing industry and sugarcane-based agriculture.
  • C. Seville
    Seville is a historic Spanish city in Andalusia renowned for its rich Moorish and Christian heritage, iconic landmarks like the Giralda and Alcázar, and vibrant cultural traditions such as flamenco.
  • D. Seville
    Seville is a small unincorporated rural community located in Volusia County, Florida, known for its agricultural surroundings and historic character.
  • E. 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.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38d89fc819086709fd3607b835f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c2818ec8190ae926a0ffdeb7bb7 completed May 9, 2026, 3 p.m.
Created at: April 10, 2026, 1:23 a.m.