Triple
T9271874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alois |
E222847
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Aloisio |
E686597
|
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: Aloisio | Statement: [Alois, hasCognate, Aloisio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aloisio Context triple: [Alois, hasCognate, Aloisio]
-
A.
Aloisio
chosen
Aloisio is an Italian given name, commonly used as a variant of Aloysius and borne by various historical and contemporary figures.
-
B.
Kallio
Kallio is a Finnish surname most notably borne by Kyösti Kallio, who served as the fourth President of Finland.
-
C.
Keilaniemi
Keilaniemi is a coastal district in Espoo, Finland, known as a major business hub hosting numerous corporate headquarters and high-rise office buildings.
-
D.
Särkisalo
Särkisalo is a former coastal municipality in Southwest Finland, known for its archipelago landscape and later incorporation into the city of Salo.
-
E.
Tammela
Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07865790819099b3865a25dae58a |
completed | April 1, 2026, 11:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100bcd1d08190ad8fe83841f6761f |
completed | April 4, 2026, 12:14 p.m. |
Created at: March 30, 2026, 7:33 p.m.