Triple
T19959595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Arenberg |
E479775
|
entity |
| Predicate | dynasticHouse |
P1547
|
FINISHED |
| Object | Arenberg |
—
|
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: Arenberg | Statement: [Duke of Arenberg, dynasticHouse, Arenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arenberg Context triple: [Duke of Arenberg, dynasticHouse, Arenberg]
-
A.
Arenberg
chosen
Arenberg is a historic town in western Germany that served as the political and administrative center of the former Duchy of Arenberg.
-
B.
Arenenberg
Arenenberg is a historic estate on the shores of Lake Constance in Switzerland, best known as the residence and later death place of Queen Hortense de Beauharnais and a key site of Napoleonic-era history.
-
C.
Livarchamps
Livarchamps is a small village in the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
-
D.
Chavignol
Chavignol is a small village in France’s Loire Valley renowned for its traditional goat’s milk cheese, Crottin de Chavignol.
-
E.
Arroux
Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af386548190aefac1e40aac403d |
completed | April 20, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:54 p.m.