Triple
T9585963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauricio |
E231289
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Mauri |
E224696
|
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: Mauri | Statement: [Mauricio, hasShortForm, Mauri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mauri Context triple: [Mauricio, hasShortForm, Mauri]
-
A.
Mauri
chosen
The Mauri were the ancient Berber inhabitants of the northwest African region corresponding largely to modern-day Morocco and parts of Algeria, known to the Romans as Mauretania.
-
B.
Nausori
Nausori is a town in Fiji located near the capital Suva on the island of Viti Levu, known for its airport and role as a regional commercial center.
-
C.
Mauga Mu
Mauga Mu is a volcanic feature located on the Samoan island of Savaiʻi.
-
D.
Kamaka
Kamaka is a small, remote island in the Gambier Islands of French Polynesia, known for its rugged terrain and sparse habitation.
-
E.
Maniaki
Maniaki is a small settlement located within the Kastoria regional unit in Western Macedonia, Greece.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99edc2c08190b67b40f6214d46f1 |
completed | April 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1617cd02c8190a1efbeb5bad0e48e |
completed | April 4, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:06 p.m.