Triple
T6870301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teck Castle |
E158525
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object |
Albvorland
Albvorland is a scenic foreland region at the foot of the Swabian Jura in southern Germany, characterized by rolling landscapes and views toward the Alb plateau.
|
E624976
|
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: Albvorland | Statement: [Teck Castle, hasViewOf, Albvorland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albvorland Context triple: [Teck Castle, hasViewOf, Albvorland]
-
A.
Vestland
Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
-
B.
Suðvesturland
Suðvesturland is the southwestern region of Iceland that includes the capital area and serves as a central hub for the country’s education, culture, and administration.
-
C.
Fosen
Fosen is a peninsula and traditional district in central Norway known for its coastal landscape, wind farms, and location across the Trondheimsfjord from the city of Trondheim.
-
D.
Extrême-Nord
Extrême-Nord is a region in northern Cameroon known for its Sahelian climate, diverse ethnic groups, and proximity to Lake Chad and the Nigerian border.
-
E.
Nord
Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
- 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: Albvorland Triple: [Teck Castle, hasViewOf, Albvorland]
Generated description
Albvorland is a scenic foreland region at the foot of the Swabian Jura in southern Germany, characterized by rolling landscapes and views toward the Alb plateau.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Albvorland Target entity description: Albvorland is a scenic foreland region at the foot of the Swabian Jura in southern Germany, characterized by rolling landscapes and views toward the Alb plateau.
-
A.
Vestland
Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
-
B.
Suðvesturland
Suðvesturland is the southwestern region of Iceland that includes the capital area and serves as a central hub for the country’s education, culture, and administration.
-
C.
Fosen
Fosen is a peninsula and traditional district in central Norway known for its coastal landscape, wind farms, and location across the Trondheimsfjord from the city of Trondheim.
-
D.
Extrême-Nord
Extrême-Nord is a region in northern Cameroon known for its Sahelian climate, diverse ethnic groups, and proximity to Lake Chad and the Nigerian border.
-
E.
Nord
Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8aa47f48190bc7cad3cc652f530 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742a114008190be431f1e10d94501 |
completed | March 28, 2026, 2:53 a.m. |
| NEDg | Description generation | batch_69c743328d148190814372ce5217f9cd |
completed | March 28, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7443919ec819089040e50462864d1 |
completed | March 28, 2026, 3 a.m. |
Created at: March 27, 2026, 2:22 p.m.