Triple
T10373896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moss municipality |
E244452
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Dilling
Dilling is a small village in Norway located within Moss municipality in Viken county.
|
E860782
|
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: Dilling | Statement: [Moss municipality, hasSettlement, Dilling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dilling Context triple: [Moss municipality, hasSettlement, Dilling]
-
A.
Dilling
Dilling is a Nubian language spoken primarily in the Nuba Mountains region of Sudan.
-
B.
Dellinger
Dellinger is a surname most notably associated with Walter Dellinger, a prominent American constitutional law scholar and former acting U.S. Solicitor General.
-
C.
Corwin
Corwin is a surname most notably associated with Jonathan Corwin, a judge involved in the Salem witch trials in 17th-century Massachusetts.
-
D.
Gideon Adlon
Gideon Adlon is an American actress known for her roles in films like "Blockers" and various television series, often portraying complex and emotionally nuanced young characters.
-
E.
David Dill
David Dill is an American computer scientist known for his influential work in formal verification, model checking, and hardware verification.
- 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: Dilling Triple: [Moss municipality, hasSettlement, Dilling]
Generated description
Dilling is a small village in Norway located within Moss municipality in Viken county.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dilling Target entity description: Dilling is a small village in Norway located within Moss municipality in Viken county.
-
A.
Dilling
Dilling is a Nubian language spoken primarily in the Nuba Mountains region of Sudan.
-
B.
Dellinger
Dellinger is a surname most notably associated with Walter Dellinger, a prominent American constitutional law scholar and former acting U.S. Solicitor General.
-
C.
Corwin
Corwin is a surname most notably associated with Jonathan Corwin, a judge involved in the Salem witch trials in 17th-century Massachusetts.
-
D.
Gideon Adlon
Gideon Adlon is an American actress known for her roles in films like "Blockers" and various television series, often portraying complex and emotionally nuanced young characters.
-
E.
David Dill
David Dill is an American computer scientist known for his influential work in formal verification, model checking, and hardware verification.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9804e708190b15f5d38cac9c4c1 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7956ca1e08190880342b22a55783f |
completed | April 9, 2026, 12:02 p.m. |
| NEDg | Description generation | batch_69d7bdde34408190a047ede29b91e182 |
completed | April 9, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7e5fc6a008190b2a2326840074b53 |
completed | April 9, 2026, 5:46 p.m. |
Created at: April 6, 2026, 12:02 p.m.