Triple
T3896120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Nassau-Dietz |
E88174
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Dietz
Dietz is a historic town in the German state of Hesse that once served as the political center of the County of Nassau-Dietz.
|
E397038
|
NE FINISHED |
How this triple was built (4 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: [County of Nassau-Dietz, capital, Dietz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dietz Context triple: [County of Nassau-Dietz, capital, Dietz]
-
A.
Dietl
Dietl is a German surname most notably associated with Eduard Dietl, a World War II German general.
-
B.
Dinnet
Dinnet is a small village in Aberdeenshire, Scotland, situated on Royal Deeside near the River Dee and serving as a gateway to the nearby nature reserves and countryside.
-
C.
Dietrich
Dietrich is a masculine German given name historically borne by notable figures such as theologian and anti-Nazi dissident Dietrich Bonhoeffer.
-
D.
Dinneen
Dinneen is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
-
E.
Comer
Comer is a surname most prominently associated with English actress Jodie Comer, known for her acclaimed role in the television series "Killing Eve."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dietz Triple: [County of Nassau-Dietz, capital, Dietz]
Generated description
Dietz is a historic town in the German state of Hesse that once served as the political center of the County of Nassau-Dietz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dietz Target entity description: Dietz is a historic town in the German state of Hesse that once served as the political center of the County of Nassau-Dietz.
-
A.
Dietl
Dietl is a German surname most notably associated with Eduard Dietl, a World War II German general.
-
B.
Dinnet
Dinnet is a small village in Aberdeenshire, Scotland, situated on Royal Deeside near the River Dee and serving as a gateway to the nearby nature reserves and countryside.
-
C.
Dietrich
Dietrich is a masculine German given name historically borne by notable figures such as theologian and anti-Nazi dissident Dietrich Bonhoeffer.
-
D.
Dinneen
Dinneen is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
-
E.
Comer
Comer is a surname most prominently associated with English actress Jodie Comer, known for her acclaimed role in the television series "Killing Eve."
- F. None of above. chosen
Provenance (5 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecd197148190b5b24f7097c6049a |
completed | March 9, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c9e3db881909e865e52a842b1be |
completed | March 14, 2026, 8:30 a.m. |
| NEDg | Description generation | batch_69b51d72707c8190a3522d449299ed1e |
completed | March 14, 2026, 8:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b51e08c7ac8190aab4b270258cdb69 |
completed | March 14, 2026, 8:36 a.m. |
Created at: March 9, 2026, 3:21 p.m.