Triple

T7019455
Position Surface form Disambiguated ID Type / Status
Subject Air Mauritius E162780 entity
Predicate hasHeadOfficeIn P62 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: [Air Mauritius, hasHeadOfficeIn, Port Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Louis
Context triple: [Air Mauritius, hasHeadOfficeIn, 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. Port Louis
    Port Louis is a small historic settlement on East Falkland in the Falkland Islands, known as one of the archipelago’s earliest established communities.
  • C. Port-Louis
    Port-Louis is a coastal commune and fishing town on the island of Grande-Terre in Guadeloupe, known for its beaches and traditional Caribbean character.
  • D. Pétion-Ville
    Pétion-Ville is a suburban commune in the hills southeast of Port-au-Prince, known as one of Haiti’s main residential and commercial centers.
  • E. Mamoudzou
    Mamoudzou is the largest city and main administrative and economic center of the French overseas department of Mayotte in the Indian Ocean.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1e8e36c81908c95a8181781cda4 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79439f28481909c028f4f86062b0f completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 2:34 p.m.