Triple
T6551632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graf |
E151142
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Raugraf
Raugraf is a historical German noble title denoting a specific rank or branch within the comital (Graf) nobility.
|
E604592
|
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: Raugraf | Statement: [Graf, hasVariant, Raugraf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raugraf Context triple: [Graf, hasVariant, Raugraf]
-
A.
Smargadus
Smargadus was the exarch of Ravenna who commissioned the Column of Phocas in the Roman Forum in the early 7th century.
-
B.
Palibothra
Palibothra is the ancient Greek name for Pataliputra, the historic capital city of several major Indian empires located near modern-day Patna in Bihar, India.
-
C.
Scallabis
Scallabis was the ancient Roman name for the city now known as Santarém in central Portugal, an important settlement in the Roman province of Lusitania.
-
D.
Orgelet
Orgelet is a small commune in eastern France’s Jura department, known for its proximity to the scenic Vouglans Reservoir and the surrounding lake and forest landscapes.
-
E.
Zorok
Zorok is a beer brand produced by Asia Pacific Breweries, known for its presence in select Asian markets.
- 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: Raugraf Triple: [Graf, hasVariant, Raugraf]
Generated description
Raugraf is a historical German noble title denoting a specific rank or branch within the comital (Graf) nobility.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raugraf Target entity description: Raugraf is a historical German noble title denoting a specific rank or branch within the comital (Graf) nobility.
-
A.
Smargadus
Smargadus was the exarch of Ravenna who commissioned the Column of Phocas in the Roman Forum in the early 7th century.
-
B.
Palibothra
Palibothra is the ancient Greek name for Pataliputra, the historic capital city of several major Indian empires located near modern-day Patna in Bihar, India.
-
C.
Scallabis
Scallabis was the ancient Roman name for the city now known as Santarém in central Portugal, an important settlement in the Roman province of Lusitania.
-
D.
Orgelet
Orgelet is a small commune in eastern France’s Jura department, known for its proximity to the scenic Vouglans Reservoir and the surrounding lake and forest landscapes.
-
E.
Zorok
Zorok is a beer brand produced by Asia Pacific Breweries, known for its presence in select Asian markets.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ae05cd988190a013226b14cd98f0 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d55416e48190b574e37a6f2e6690 |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d6acc2208190ac47c60bb896c1cd |
completed | March 27, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d83b53e48190881a3e1e8fa8b168 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:51 p.m.