Triple

T13080465
Position Surface form Disambiguated ID Type / Status
Subject Interzone E310186 entity
Predicate influencedBy P9 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: [Interzone, influencedBy, Tangier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tangier
Context triple: [Interzone, influencedBy, 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98119cb7081908b78ffe83ec99851 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60c603881909dff49f4356042b5 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9:01 p.m.