Triple
T22791787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wedel Jarlsberg |
E564129
|
entity |
| Predicate | hasSurnameForm |
P18
|
FINISHED |
| Object |
Wedel-Jarlsberg
Wedel-Jarlsberg is a notable Norwegian noble family historically influential in politics, landownership, and public life in Norway.
|
E1555112
|
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: Wedel-Jarlsberg | Statement: [Wedel Jarlsberg, hasSurnameForm, Wedel-Jarlsberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wedel-Jarlsberg Context triple: [Wedel Jarlsberg, hasSurnameForm, Wedel-Jarlsberg]
-
A.
Widdersberg
Widdersberg is a small village that forms one of the local subdivisions of the municipality of Münsing in Bavaria, Germany.
-
B.
Wedel
Wedel is a town on the outskirts of Hamburg, Germany, known for being a suburban terminus of the city's S-Bahn network.
-
C.
Lonstein
Lonstein is a surname of likely Ashkenazi Jewish origin borne by various individuals and families.
-
D.
Weilerswist
Weilerswist is a municipality in the Rhein-Erft district of North Rhine-Westphalia, Germany, known for its rural character and proximity to the cities of Cologne and Bonn.
-
E.
Börde-Hakel
Börde-Hakel is a small municipality in the German state of Saxony-Anhalt, known for its rural character and agricultural landscape.
- 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: Wedel-Jarlsberg Triple: [Wedel Jarlsberg, hasSurnameForm, Wedel-Jarlsberg]
Generated description
Wedel-Jarlsberg is a notable Norwegian noble family historically influential in politics, landownership, and public life in Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wedel-Jarlsberg Target entity description: Wedel-Jarlsberg is a notable Norwegian noble family historically influential in politics, landownership, and public life in Norway.
-
A.
Widdersberg
Widdersberg is a small village that forms one of the local subdivisions of the municipality of Münsing in Bavaria, Germany.
-
B.
Wedel
Wedel is a town on the outskirts of Hamburg, Germany, known for being a suburban terminus of the city's S-Bahn network.
-
C.
Lonstein
Lonstein is a surname of likely Ashkenazi Jewish origin borne by various individuals and families.
-
D.
Weilerswist
Weilerswist is a municipality in the Rhein-Erft district of North Rhine-Westphalia, Germany, known for its rural character and proximity to the cities of Cologne and Bonn.
-
E.
Börde-Hakel
Börde-Hakel is a small municipality in the German state of Saxony-Anhalt, known for its rural character and agricultural landscape.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cd5778c81909a18317ff98e341c |
completed | April 29, 2026, 3:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e9214ec8190a67d9d97c74d5064 |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0ba09cd4d48190b00db42dc43db779 |
completed | May 18, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba13332588190a73ab3a52825a1fe |
completed | May 18, 2026, 11:30 p.m. |
Created at: April 17, 2026, 3:30 p.m.