Triple
T15878096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ørsta |
E385000
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Liabygda
Liabygda is a small village in Møre og Romsdal county in western Norway, known for its scenic fjord landscape and rural setting.
|
E1181682
|
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: Liabygda | Statement: [Ørsta, hasSettlement, Liabygda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liabygda Context triple: [Ørsta, hasSettlement, Liabygda]
-
A.
Skvyra
Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
-
B.
Lypky
Lypky is an upscale historic neighborhood in central Kyiv, Ukraine, known for its government buildings, diplomatic institutions, and elegant pre-revolutionary architecture.
-
C.
Vendryně
Vendryně is a village in the Moravian-Silesian Region of the Czech Republic, known for its location in the historical region of Cieszyn Silesia near the Olza River.
-
D.
Dainava
Dainava is a historical region in the territory of present-day Lithuania and northeastern Poland, traditionally associated with the Baltic Yotvingian and Lithuanian tribes.
-
E.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
- 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: Liabygda Triple: [Ørsta, hasSettlement, Liabygda]
Generated description
Liabygda is a small village in Møre og Romsdal county in western Norway, known for its scenic fjord landscape and rural setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liabygda Target entity description: Liabygda is a small village in Møre og Romsdal county in western Norway, known for its scenic fjord landscape and rural setting.
-
A.
Skvyra
Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
-
B.
Lypky
Lypky is an upscale historic neighborhood in central Kyiv, Ukraine, known for its government buildings, diplomatic institutions, and elegant pre-revolutionary architecture.
-
C.
Vendryně
Vendryně is a village in the Moravian-Silesian Region of the Czech Republic, known for its location in the historical region of Cieszyn Silesia near the Olza River.
-
D.
Dainava
Dainava is a historical region in the territory of present-day Lithuania and northeastern Poland, traditionally associated with the Baltic Yotvingian and Lithuanian tribes.
-
E.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fec9d4819081efea504e1e3952 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa950a890819092bc1e8895034593 |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffab1d8f0881908ead340c4b913a76 |
completed | May 9, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffab8c79588190adf87fcec328985a |
completed | May 9, 2026, 9:47 p.m. |
Created at: April 10, 2026, 4:51 a.m.