Triple
T5652407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ullensaker |
E124535
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Nordkisa
Nordkisa is a small village in Ullensaker municipality in Viken county, Norway.
|
E537550
|
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: Nordkisa | Statement: [Ullensaker, hasSettlement, Nordkisa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nordkisa Context triple: [Ullensaker, hasSettlement, Nordkisa]
-
A.
Seiskari
Seiskari is an island located in the Gulf of Finland, historically known as a fishing community and part of the outer archipelago in the eastern Baltic Sea.
-
B.
Snåsa
Snåsa is a rural municipality in Trøndelag county, Norway, known for its large lakes, forests, and strong South Sámi cultural heritage.
-
C.
Finnsnes
Finnsnes is a small coastal town in northern Norway that serves as a commercial and transport hub for the island municipality of Senja.
-
D.
Namdalseid
Namdalseid is a former rural municipality in Trøndelag county, Norway, known for its forests, agriculture, and coastal landscape along the Namsenfjorden.
-
E.
Giske
Giske is a coastal municipality in Møre og Romsdal county, Norway, known for its islands, fishing communities, and proximity to the town of Ålesund.
- 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: Nordkisa Triple: [Ullensaker, hasSettlement, Nordkisa]
Generated description
Nordkisa is a small village in Ullensaker municipality in Viken county, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nordkisa Target entity description: Nordkisa is a small village in Ullensaker municipality in Viken county, Norway.
-
A.
Seiskari
Seiskari is an island located in the Gulf of Finland, historically known as a fishing community and part of the outer archipelago in the eastern Baltic Sea.
-
B.
Snåsa
Snåsa is a rural municipality in Trøndelag county, Norway, known for its large lakes, forests, and strong South Sámi cultural heritage.
-
C.
Finnsnes
Finnsnes is a small coastal town in northern Norway that serves as a commercial and transport hub for the island municipality of Senja.
-
D.
Namdalseid
Namdalseid is a former rural municipality in Trøndelag county, Norway, known for its forests, agriculture, and coastal landscape along the Namsenfjorden.
-
E.
Giske
Giske is a coastal municipality in Møre og Romsdal county, Norway, known for its islands, fishing communities, and proximity to the town of Ålesund.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d8a2588190b10de59edbc8841f |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d941ea4819084bab644d6cc2153 |
completed | March 22, 2026, 8:14 p.m. |
| NEDg | Description generation | batch_69c04ede30088190a70607458f4653d0 |
completed | March 22, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04fb365cc8190b825f7c1d66aee0f |
completed | March 22, 2026, 8:23 p.m. |
Created at: March 22, 2026, 3:42 p.m.