Triple
T15332008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eid |
E366557
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Kjølsdalen
Kjølsdalen is a small village in western Norway, situated in the municipality historically associated with Eid in Vestland county.
|
E1168086
|
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: Kjølsdalen | Statement: [Eid, hasSettlement, Kjølsdalen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kjølsdalen Context triple: [Eid, hasSettlement, Kjølsdalen]
-
A.
Fyllingsdalen
Fyllingsdalen is a borough of Bergen, Norway, known as a residential district located southwest of the city center.
-
B.
Gauldalen
Gauldalen is a river valley and traditional district in central Norway known for its agricultural landscape and the Gaula River running through it.
-
C.
Sørkedalen
Sørkedalen is a rural valley area in the northwest of Oslo, Norway, known for its forests, farms, and outdoor recreation opportunities.
-
D.
Romsdalen
Romsdalen is a dramatic valley in western Norway known for its steep mountains, deep river gorge, and popular hiking and climbing routes.
-
E.
Orkdalen
Orkdalen is a valley and traditional district in central Norway known for the Orkla River and its agricultural landscapes within Trøndelag county.
- 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: Kjølsdalen Triple: [Eid, hasSettlement, Kjølsdalen]
Generated description
Kjølsdalen is a small village in western Norway, situated in the municipality historically associated with Eid in Vestland county.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kjølsdalen Target entity description: Kjølsdalen is a small village in western Norway, situated in the municipality historically associated with Eid in Vestland county.
-
A.
Fyllingsdalen
Fyllingsdalen is a borough of Bergen, Norway, known as a residential district located southwest of the city center.
-
B.
Gauldalen
Gauldalen is a river valley and traditional district in central Norway known for its agricultural landscape and the Gaula River running through it.
-
C.
Sørkedalen
Sørkedalen is a rural valley area in the northwest of Oslo, Norway, known for its forests, farms, and outdoor recreation opportunities.
-
D.
Romsdalen
Romsdalen is a dramatic valley in western Norway known for its steep mountains, deep river gorge, and popular hiking and climbing routes.
-
E.
Orkdalen
Orkdalen is a valley and traditional district in central Norway known for the Orkla River and its agricultural landscapes within Trøndelag county.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0268608190947a58f559a67717 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f2754648190bfd0bd15f20b40d2 |
completed | May 9, 2026, 4:21 p.m. |
| NEDg | Description generation | batch_69ff604e1b0c819092fc17b00f5797b3 |
completed | May 9, 2026, 4:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff60fb6f048190b02917a4f2f1a83d |
completed | May 9, 2026, 4:29 p.m. |
Created at: April 10, 2026, 3:17 a.m.