Triple
T1346868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauritius |
E28590
|
entity |
| Predicate | largestCity |
P235
|
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, largestCity, Port Louis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port Louis Context triple: [Mauritius, largestCity, 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.
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.
-
C.
Antananarivo
Antananarivo is the capital and largest city of Madagascar, serving as its political, economic, and cultural center.
-
D.
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.
-
E.
Roseau
Roseau is the largest city and main commercial and administrative center of the Caribbean island nation of Dominica.
- 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_69acd47917d88190a13d7705f09c0b58 |
completed | March 8, 2026, 1:44 a.m. |
Created at: March 1, 2026, 7:56 p.m.