Triple

T12871355
Position Surface form Disambiguated ID Type / Status
Subject Northern Algeria E307856 entity
Predicate contains P35 FINISHED
Object Oran E19574 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: Oran | Statement: [Northern Algeria, contains, Oran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oran
Context triple: [Northern Algeria, contains, Oran]
  • A. Oran chosen
    Oran is a major port city on Algeria’s Mediterranean coast, known for its historical significance, vibrant culture, and role as an important economic center.
  • B. Jijel
    Jijel is a coastal city in northeastern Algeria on the Mediterranean Sea, known for its beaches, forests, and role as an important regional port and tourist center.
  • C. Oran Province
    Oran Province is an administrative region in northwestern Algeria centered on the coastal city of Oran, a major economic and cultural hub on the Mediterranean.
  • D. Bejaia
    Bejaia is a major port city in northern Algeria, known as an important cultural and economic center of the Kabylie region on the Mediterranean coast.
  • E. Belouizdad, Algiers
    Belouizdad, Algiers is a district of Algeria’s capital city known for its dense urban character and for hosting the prominent football club CR Belouizdad.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970905784819091631161a9de98c5 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb4b28c8190a4ec9cad4e1e0f05 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.