Triple

T12871368
Position Surface form Disambiguated ID Type / Status
Subject Northern Algeria E307856 entity
Predicate contains P35 FINISHED
Object Jijel E651116 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: Jijel | Statement: [Northern Algeria, contains, Jijel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jijel
Context triple: [Northern Algeria, contains, Jijel]
  • A. Jijel chosen
    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.
  • B. Jijel Province
    Jijel Province is a coastal region in northeastern Algeria known for its Mediterranean shoreline, mountainous Kabyle-influenced hinterland, and rich natural landscapes.
  • C. 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.
  • D. Tripoli
    Tripoli is a historic Mediterranean port city that serves as the capital and largest urban center of Libya.
  • E. Tripoli
    Tripoli is a historic city in the central Peloponnese of Greece that serves as the main urban and administrative center of the Arcadia region.
  • 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_69f6af533d188190b9c816cdc892fe99 completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:38 p.m.