Triple

T10135574
Position Surface form Disambiguated ID Type / Status
Subject Paul Bowles E226845 entity
Predicate residence P75 FINISHED
Object Tangier E44467 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: Tangier | Statement: [Paul Bowles, residence, Tangier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tangier
Context triple: [Paul Bowles, residence, Tangier]
  • A. Tangier chosen
    Tangier is a historic Moroccan port city on the Strait of Gibraltar known for its blend of North African, European, and Middle Eastern influences and its long-standing role as a cultural crossroads.
  • B. Agadir
    Agadir is a major coastal city in southwestern Morocco known for its Atlantic beaches, modern resort infrastructure, and role as a key tourist destination.
  • C. Nador
    Nador is a town in northern Algeria, likely situated within the coastal Tipaza Province west of Algiers.
  • D. Nador
    Nador is a coastal city in northeastern Morocco known as an important commercial and fishing port on the Mediterranean.
  • E. El Aaiún
    El Aaiún is the largest city and de facto administrative center of Western Sahara, located near the Atlantic coast in the disputed territory controlled by Morocco.
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cde87fae288190bb4f13e1ae90f50a completed April 2, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d94ae0a9608190ab241b6a62fe807b completed April 10, 2026, 7:09 p.m.
Created at: March 30, 2026, 9:06 p.m.