Triple
T17143690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jämtland County |
E416033
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Vålådalen
Vålådalen is a mountain valley and outdoor recreation area in western Sweden known for its hiking, skiing, and access to the Scandinavian wilderness.
|
E1254618
|
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: Vålådalen | Statement: [Jämtland County, contains, Vålådalen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vålådalen Context triple: [Jämtland County, contains, Vålådalen]
-
A.
Sogndalsdalen
Sogndalsdalen is a scenic valley in western Norway known for its dramatic landscapes, rivers, and access to hiking and outdoor activities.
-
B.
Fyllingsdalen
Fyllingsdalen is a borough of Bergen, Norway, known as a residential district located southwest of the city center.
-
C.
Grøtnesdalen
Grøtnesdalen is a small settlement located on the island of Ringvassøya in northern Norway.
-
D.
Orkdalen
Orkdalen is a valley and traditional district in central Norway known for the Orkla River and its agricultural landscapes within Trøndelag county.
-
E.
Verdal valley
Verdal valley is a fertile agricultural valley in Trøndelag county, central Norway, known for its farming landscape and the town of Verdalsøra.
- 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: Vålådalen Triple: [Jämtland County, contains, Vålådalen]
Generated description
Vålådalen is a mountain valley and outdoor recreation area in western Sweden known for its hiking, skiing, and access to the Scandinavian wilderness.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vålådalen Target entity description: Vålådalen is a mountain valley and outdoor recreation area in western Sweden known for its hiking, skiing, and access to the Scandinavian wilderness.
-
A.
Sogndalsdalen
Sogndalsdalen is a scenic valley in western Norway known for its dramatic landscapes, rivers, and access to hiking and outdoor activities.
-
B.
Fyllingsdalen
Fyllingsdalen is a borough of Bergen, Norway, known as a residential district located southwest of the city center.
-
C.
Grøtnesdalen
Grøtnesdalen is a small settlement located on the island of Ringvassøya in northern Norway.
-
D.
Orkdalen
Orkdalen is a valley and traditional district in central Norway known for the Orkla River and its agricultural landscapes within Trøndelag county.
-
E.
Verdal valley
Verdal valley is a fertile agricultural valley in Trøndelag county, central Norway, known for its farming landscape and the town of Verdalsøra.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d73c3c81908b875023bb925edb |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483158348190abb96b36caaf455a |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a014aaaa3308190872d6db566a75511 |
completed | May 11, 2026, 3:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014b092c948190bc8e9e8d3918bf84 |
completed | May 11, 2026, 3:20 a.m. |
Created at: April 10, 2026, 5:36 a.m.