Triple
T8329723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurt Aland |
E195044
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Aland |
E522417
|
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: Aland | Statement: [Kurt Aland, familyName, Aland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aland Context triple: [Kurt Aland, familyName, Aland]
-
A.
Aland
chosen
Aland is a surname most notably associated with German biblical scholar Barbara Aland.
-
B.
Åland Islands
The Åland Islands are an autonomous, Swedish-speaking archipelago region of Finland known for their strategic location in the Baltic Sea and extensive self-governance.
-
C.
Gotland
Gotland is Sweden’s largest island, located in the Baltic Sea and known for its medieval town of Visby, limestone cliffs, and rich Viking-era history.
-
D.
Öland
Öland is Sweden’s second-largest island, known for its unique limestone plains, rich birdlife, and popular summer tourism along the Baltic Sea coast.
-
E.
Saaremaa
Saaremaa is the largest island of Estonia, known for its rugged coastline, medieval Kuressaare Castle, and distinctive windmills and juniper landscapes.
- 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_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fb812508190aed8a283dacf712e |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95c2c36481909793e9cd0c28168a |
completed | April 1, 2026, 10:01 p.m. |
Created at: March 30, 2026, 5:56 p.m.