Triple

T21597795
Position Surface form Disambiguated ID Type / Status
Subject Algerian Civil War E532948 entity
Predicate location P40 FINISHED
Object Relizane NE NERFINISHED

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: Relizane | Statement: [Algerian Civil War, location, Relizane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Relizane
Context triple: [Algerian Civil War, location, Relizane]
  • A. Relizane chosen
    Relizane is a city in northwestern Algeria that serves as the capital of Relizane Province and an important regional agricultural and commercial center.
  • B. Karume
    Karume is a Swahili surname most prominently associated with Abeid Karume, the first president of Zanzibar and a key figure in Tanzanian political history.
  • C. Thazi
    Thazi is a town in Myanmar’s Mandalay Region that serves as a local transport and railway junction near Meiktila.
  • D. Thalochi
    Thalochi is an alternative name for Thali, a term commonly associated with traditional South Asian platter-style meals featuring a variety of dishes served together.
  • E. Rumelange
    Rumelange is a small town and commune in southwestern Luxembourg known for its historic iron-ore mining and the National Mining Museum.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefae2fc908190b989f39e8cefffb2 completed April 27, 2026, 5:57 a.m.
Created at: April 16, 2026, 6:32 p.m.