Triple

T10922796
Position Surface form Disambiguated ID Type / Status
Subject Champ de Mars Racecourse E257988 entity
Predicate location P40 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: [Champ de Mars Racecourse, location, Port Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Louis
Context triple: [Champ de Mars Racecourse, location, 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. Curepipe
    Curepipe is a central Mauritian town known for its cool, rainy climate, colonial-era architecture, and proximity to the Trou aux Cerfs volcanic crater.
  • E. 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.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7708d1fb88190bb33b72d4330ce11 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e42d4f9518819091f7e02ad5f63ab3 completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:22 p.m.