Triple
T15243568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rana Municipality |
E364318
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Skonseng
Skonseng is a village in Nordland county, Norway, situated in the inland area of Rana Municipality.
|
E1145497
|
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: Skonseng | Statement: [Rana Municipality, contains, Skonseng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skonseng Context triple: [Rana Municipality, contains, Skonseng]
-
A.
Raklungu
Raklungu is an indigenous local language spoken on Atauro Island, near Timor-Leste.
-
B.
Kencot
Kencot is a small rural village in Oxfordshire, England, known for its historic stone cottages and traditional Cotswold character.
-
C.
Samtskhe
Samtskhe is a historical and geographic region in southern Georgia known for its mountainous landscapes, medieval fortresses, and cultural heritage.
-
D.
Sizong
Sizong is the temple name of the Chongzhen Emperor, the last ruler of China’s Ming dynasty.
-
E.
Gulgong
Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
- 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: Skonseng Triple: [Rana Municipality, contains, Skonseng]
Generated description
Skonseng is a village in Nordland county, Norway, situated in the inland area of Rana Municipality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skonseng Target entity description: Skonseng is a village in Nordland county, Norway, situated in the inland area of Rana Municipality.
-
A.
Raklungu
Raklungu is an indigenous local language spoken on Atauro Island, near Timor-Leste.
-
B.
Kencot
Kencot is a small rural village in Oxfordshire, England, known for its historic stone cottages and traditional Cotswold character.
-
C.
Samtskhe
Samtskhe is a historical and geographic region in southern Georgia known for its mountainous landscapes, medieval fortresses, and cultural heritage.
-
D.
Sizong
Sizong is the temple name of the Chongzhen Emperor, the last ruler of China’s Ming dynasty.
-
E.
Gulgong
Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007dcc33081908545ea1a1d2c19fe |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd461cf08190a506aac2f0cec83a |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fedf6ee3f081909553078cd3e9d243 |
completed | May 9, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee0016a088190ad87268e035f677e |
completed | May 9, 2026, 7:19 a.m. |
Created at: April 10, 2026, 3:13 a.m.