Triple
T10191697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amrum |
E238050
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Steenodde
Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
|
E848041
|
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: Steenodde | Statement: [Amrum, hasVillage, Steenodde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steenodde Context triple: [Amrum, hasVillage, Steenodde]
-
A.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
-
B.
Fredrikshald
Fredrikshald is the former name of the Norwegian town now known as Halden, a historic border city near Sweden noted for its fortress and role in Norwegian-Swedish conflicts.
-
C.
Svarstad
Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
-
D.
Stenåsa
Stenåsa is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and proximity to coastal and natural areas.
-
E.
Trondenes
Trondenes is a historic former municipality and parish in northern Norway, known for its medieval stone church and role as an administrative center in the Harstad region.
- 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: Steenodde Triple: [Amrum, hasVillage, Steenodde]
Generated description
Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steenodde Target entity description: Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
-
A.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
-
B.
Fredrikshald
Fredrikshald is the former name of the Norwegian town now known as Halden, a historic border city near Sweden noted for its fortress and role in Norwegian-Swedish conflicts.
-
C.
Svarstad
Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
-
D.
Stenåsa
Stenåsa is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and proximity to coastal and natural areas.
-
E.
Trondenes
Trondenes is a historic former municipality and parish in northern Norway, known for its medieval stone church and role as an administrative center in the Harstad region.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedc4fb808190aae2e4b84be96f83 |
completed | April 2, 2026, 4:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d32ae3fe40819093080f9bf15a9608 |
completed | April 6, 2026, 3:39 a.m. |
| NEDg | Description generation | batch_69d32c8435f88190987e59ed31625a7f |
completed | April 6, 2026, 3:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d32d3371a081909ef61aa957cae1fa |
completed | April 6, 2026, 3:49 a.m. |
Created at: March 30, 2026, 9:13 p.m.