Triple

T13194358
Position Surface form Disambiguated ID Type / Status
Subject Prime Minister's Office of Algeria E314073 entity
Predicate locatedIn P40 FINISHED
Object Algiers E10377 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: Algiers | Statement: [Prime Minister's Office of Algeria, locatedIn, Algiers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algiers
Context triple: [Prime Minister's Office of Algeria, locatedIn, Algiers]
  • A. Algiers chosen
    Algiers is the capital and largest city of Algeria, a major political, economic, and cultural center on the Mediterranean coast of North Africa.
  • B. 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.
  • C. Tunis
    Tunis is the capital and largest city of Tunisia, serving as a major political, economic, and cultural center in the Arab world.
  • D. Touggourt
    Touggourt is an oasis city in northeastern Algeria, known historically as a Saharan trading center and now as a regional hub in the Algerian desert.
  • E. 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.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c6158e4819082c8ad75b4dfdd90 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a227d2c81908da0089d0e0387c6 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:16 p.m.