Triple
T19330569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Principality of Nassau-Dietz |
E483477
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Dietz |
—
|
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: Dietz | Statement: [Principality of Nassau-Dietz, capital, Dietz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dietz Context triple: [Principality of Nassau-Dietz, capital, Dietz]
-
A.
Dietz
chosen
Dietz is a historic town in the German state of Hesse that once served as the political center of the County of Nassau-Dietz.
-
B.
Dietrichson
Dietrichson is a Norwegian surname most notably associated with Oluf Christian Dietrichson, an officer and polar explorer who took part in Fridtjof Nansen’s Greenland expedition.
-
C.
Dietzen
Dietzen is a surname most notably associated with American actor Brian Dietzen, known for his role as Jimmy Palmer on the television series "NCIS."
-
D.
Dietmanns
Dietmanns is a village-sized district of the spa town Bad Wurzach in the state of Baden-Württemberg, Germany.
-
E.
Dieter
Dieter is a given name of German origin, often used as a diminutive or variant of the name Dietrich.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e616412bcc81909bb34d3cf5363129 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.