Triple

T1147047
Position Surface form Disambiguated ID Type / Status
Subject Francophonie E23588 entity
Predicate hasKeyCity P316 FINISHED
Object Antananarivo
Antananarivo is the capital and largest city of Madagascar, serving as its political, economic, and cultural center.
 E131488 NE FINISHED

How this triple was built (4 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: Antananarivo | Statement: [Francophonie, hasKeyCity, Antananarivo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Antananarivo
Context triple: [Francophonie, hasKeyCity, Antananarivo]
  • A. Port Louis
    Port Louis is the capital and largest city of Mauritius, serving as its main economic, political, and cultural center as well as a key regional port in the Indian Ocean.
  • B. Masvingo
    Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
  • C. Mutare
    Mutare is a major city in eastern Zimbabwe, serving as the capital of Manicaland Province and an important commercial and transport hub near the border with Mozambique.
  • D. Roseau
    Roseau is the largest city and main commercial and administrative center of the Caribbean island nation of Dominica.
  • E. Dodoma
    Dodoma is the political and administrative capital city of Tanzania, located in the country’s central region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Antananarivo
Triple: [Francophonie, hasKeyCity, Antananarivo]
Generated description
Antananarivo is the capital and largest city of Madagascar, serving as its political, economic, and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Antananarivo
Target entity description: Antananarivo is the capital and largest city of Madagascar, serving as its political, economic, and cultural center.
  • A. Port Louis
    Port Louis is the capital and largest city of Mauritius, serving as its main economic, political, and cultural center as well as a key regional port in the Indian Ocean.
  • B. Masvingo
    Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
  • C. Mutare
    Mutare is a major city in eastern Zimbabwe, serving as the capital of Manicaland Province and an important commercial and transport hub near the border with Mozambique.
  • D. Roseau
    Roseau is the largest city and main commercial and administrative center of the Caribbean island nation of Dominica.
  • E. Dodoma
    Dodoma is the political and administrative capital city of Tanzania, located in the country’s central region.
  • F. None of above. chosen

Provenance (5 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bf13ab648190931dea78202096e4 completed March 1, 2026, 10:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eb3ec3881908c8cb39b422fcc71 completed March 7, 2026, 5:21 p.m.
NEDg Description generation batch_69ac5f248db081908596810839ee6160 completed March 7, 2026, 5:23 p.m.
NED2 Entity disambiguation (via description) batch_69ac5fb242488190bf99f63956aeda13 completed March 7, 2026, 5:26 p.m.
Created at: March 1, 2026, 7:44 p.m.