Triple

T1346867
Position Surface form Disambiguated ID Type / Status
Subject Mauritius E28590 entity
Predicate capital P234 FINISHED
Object Port Louis E47208 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: Port Louis | Statement: [Mauritius, capital, Port Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Louis
Context triple: [Mauritius, capital, Port Louis]
  • A. Port Louis chosen
    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. Antananarivo
    Antananarivo is the capital and largest city of Madagascar, serving as its political, economic, and cultural center.
  • C. Port-Joinville
    Port-Joinville is the main port town on the Île d’Yeu off the west coast of France, known as a ferry hub and seaside destination in the Vendée department.
  • D. Roseau
    Roseau is the largest city and main commercial and administrative center of the Caribbean island nation of Dominica.
  • E. Nouméa, New Caledonia
    Nouméa is the capital and largest city of New Caledonia, a French territory in the South Pacific known for its strategic port, multicultural population, and role as a regional administrative and economic center.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c2406c488190b2c04d54d9c5e94c completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce68225081909d995cd7ae5f2224 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:56 p.m.