Triple

T13721831
Position Surface form Disambiguated ID Type / Status
Subject Southern Spain E329055 entity
Predicate hasCity P316 FINISHED
Object Algeciras E75004 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: Algeciras | Statement: [Southern Spain, hasCity, Algeciras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algeciras
Context triple: [Southern Spain, hasCity, Algeciras]
  • A. Algeciras chosen
    Algeciras is a major port city in southern Spain, strategically located near the Strait of Gibraltar and serving as a key hub for maritime trade between Europe and Africa.
  • B. Algeciras
    Algeciras is a municipality in the Huila Department of southwestern Colombia, known for its agricultural economy and Andean rural landscapes.
  • C. Melilla
    Melilla is a Spanish autonomous city located on the north coast of Africa, bordering Morocco and serving as a key enclave between Europe and Africa.
  • D. Cadiz
    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.
  • E. Cadiz
    Cadiz is a coastal city in the province of Negros Occidental in the Philippines, known for its fishing industry and sugarcane-based 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f3b46481909ceedfa78e9ca92b completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5e1ecc8190a9fec550a99702c0 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.