Triple
T19302826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Mauritius |
E482743
|
entity |
| Predicate | majorPort |
P528
|
FINISHED |
| Object | Port Louis |
—
|
NE NERFINISHED |
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: [French Mauritius, majorPort, Port Louis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port Louis Context triple: [French Mauritius, majorPort, 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 (2 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc8add788190aed98bcbad518808 |
completed | April 20, 2026, 10:14 a.m. |
Created at: April 10, 2026, 1:31 p.m.