Triple

T643145
Position Surface form Disambiguated ID Type / Status
Subject ECA Subregional Office for West Africa E16782 entity
Predicate headquartersLocation P62 FINISHED
Object Niamey, Niger E72364 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: Niamey, Niger | Statement: [ECA Subregional Office for West Africa, headquartersLocation, Niamey, Niger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niamey, Niger
Context triple: [ECA Subregional Office for West Africa, headquartersLocation, Niamey, Niger]
  • A. Niamey chosen
    Niamey is the capital and largest city of Niger, situated along the Niger River and serving as the country’s political, economic, and cultural center.
  • B. Bamako
    Bamako is the capital and largest city of Mali, serving as a major political, economic, and cultural center in West Africa.
  • C. Ouagadougou
    Ouagadougou is the capital and largest city of Burkina Faso, serving as its political, economic, and cultural center in the Sahel region.
  • D. Brazzaville
    Brazzaville is the capital and largest city of the Republic of the Congo, located on the Congo River directly across from Kinshasa in Central Africa.
  • E. Lomé
    Lomé is the coastal capital and largest city of Togo, serving as a key economic and cultural hub in West Africa.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49f03db7481909e49c325c5f7cdae completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58a6eeb688190b950e3c4fb5962f8 completed March 2, 2026, 1:02 p.m.
Created at: March 1, 2026, 7:36 p.m.