Triple

T19496736
Position Surface form Disambiguated ID Type / Status
Subject President of the National Assembly of Chad E487789 entity
Predicate seat P75 FINISHED
Object N'Djamena 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: N'Djamena | Statement: [President of the National Assembly of Chad, seat, N'Djamena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N'Djamena
Context triple: [President of the National Assembly of Chad, seat, N'Djamena]
  • A. N'Djamena chosen
    N'Djamena is the largest city and political, economic, and cultural center of Chad, located in the southwestern part of the country near the border with Cameroon.
  • B. Ouaga
    Ouaga is the commonly used short name for Ouagadougou, the capital and largest city of Burkina Faso.
  • C. Moundou
    Moundou is a major city in southwestern Chad and an important industrial and commercial center, particularly known for its cotton and oil industries.
  • D. Abéché
    Abéché is a major city in eastern Chad that serves as an important regional trade and administrative center.
  • E. Bangui
    Bangui is the capital and largest city of the Central African Republic, serving as its political, economic, and cultural center.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e634924e24819085cd61ba33c84570 completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:40 p.m.