Triple
T10428132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hole |
E245838
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Steinsåsen
Steinsåsen is a small village in Hole Municipality in Viken county, Norway, situated near the Tyrifjorden lake and known for its scenic rural surroundings.
|
E862660
|
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: Steinsåsen | Statement: [Hole, hasVillage, Steinsåsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steinsåsen Context triple: [Hole, hasVillage, Steinsåsen]
-
A.
Spiterstulen
Spiterstulen is a mountain lodge in Norway’s Jotunheimen region that serves as a key base for hikers and climbers exploring nearby peaks.
-
B.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
C.
Valhalla
Valhalla is a hamlet in the town of Mount Pleasant in Westchester County, New York, known for its suburban character and proximity to major reservoirs and parklands.
-
D.
Valhalla
Valhalla is the majestic hall in Norse mythology where Odin receives and houses warriors who have died heroically in battle.
-
E.
Valhalla
Valhalla is a large, Viking-themed indoor water ride known for its dramatic special effects and soaking drops at Blackpool Pleasure Beach in England.
- 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: Steinsåsen Triple: [Hole, hasVillage, Steinsåsen]
Generated description
Steinsåsen is a small village in Hole Municipality in Viken county, Norway, situated near the Tyrifjorden lake and known for its scenic rural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steinsåsen Target entity description: Steinsåsen is a small village in Hole Municipality in Viken county, Norway, situated near the Tyrifjorden lake and known for its scenic rural surroundings.
-
A.
Spiterstulen
Spiterstulen is a mountain lodge in Norway’s Jotunheimen region that serves as a key base for hikers and climbers exploring nearby peaks.
-
B.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
-
C.
Valhalla
Valhalla is a hamlet in the town of Mount Pleasant in Westchester County, New York, known for its suburban character and proximity to major reservoirs and parklands.
-
D.
Valhalla
Valhalla is the majestic hall in Norse mythology where Odin receives and houses warriors who have died heroically in battle.
-
E.
Valhalla
Valhalla is a large, Viking-themed indoor water ride known for its dramatic special effects and soaking drops at Blackpool Pleasure Beach in England.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea4a7dcc81909a830e08656a1c0c |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc2b50b48190b1d5b29d19a240c2 |
completed | April 9, 2026, 7:21 p.m. |
| NEDg | Description generation | batch_69d822d76f3481909f7c04be19414b14 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859fd8f0c8190b0fec880e1180e50 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 6, 2026, 12:13 p.m.