Triple

T11767353
Position Surface form Disambiguated ID Type / Status
Subject Crown of Spain E279815 entity
Predicate hasPart P35 FINISHED
Object Melilla E27909 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: Melilla | Statement: [Crown of Spain, hasPart, Melilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melilla
Context triple: [Crown of Spain, hasPart, Melilla]
  • A. Melilla chosen
    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.
  • B. Algeciras
    Algeciras is a municipality in the Huila Department of southwestern Colombia, known for its agricultural economy and Andean rural landscapes.
  • C. Algeciras
    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.
  • D. Ceuta
    Ceuta is a small Spanish autonomous city on the north coast of Africa, bordering Morocco and strategically located at the Strait of Gibraltar.
  • E. Malaga
    Malaga is a white wine grape variety name historically used as a synonym for Sémillon in certain wine-growing regions.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a526979c8190ad2089997906855b completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09063bdcc819089211d6246041416 completed April 28, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:41 p.m.