Triple
T18915012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tolga |
E462702
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Osneset
Osneset is a small settlement located within the municipality of Tolga in Innlandet county, Norway.
|
E1349143
|
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: Osneset | Statement: [Tolga, hasSettlement, Osneset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osneset Context triple: [Tolga, hasSettlement, Osneset]
-
A.
Naassenes
The Naassenes were an early Christian Gnostic sect known for their serpent symbolism, esoteric cosmology, and syncretic use of pagan and biblical traditions.
-
B.
Mosen
Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
-
C.
Esnes
Esnes is a small commune in northern France, located in the Nord department within the Hauts-de-France region.
-
D.
Odensala
Odensala is a locality within Östersund Municipality in Jämtland County, Sweden, functioning as a residential area near the city of Östersund.
-
E.
Kortessem
Kortessem is a small municipality in the Belgian province of Limburg, known for its rural character and historic churches and castles.
- 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: Osneset Triple: [Tolga, hasSettlement, Osneset]
Generated description
Osneset is a small settlement located within the municipality of Tolga in Innlandet county, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Osneset Target entity description: Osneset is a small settlement located within the municipality of Tolga in Innlandet county, Norway.
-
A.
Naassenes
The Naassenes were an early Christian Gnostic sect known for their serpent symbolism, esoteric cosmology, and syncretic use of pagan and biblical traditions.
-
B.
Mosen
Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
-
C.
Esnes
Esnes is a small commune in northern France, located in the Nord department within the Hauts-de-France region.
-
D.
Odensala
Odensala is a locality within Östersund Municipality in Jämtland County, Sweden, functioning as a residential area near the city of Östersund.
-
E.
Kortessem
Kortessem is a small municipality in the Belgian province of Limburg, known for its rural character and historic churches and castles.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c62685408190b17280147e1c247a |
completed | April 20, 2026, 6:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0591128abc8190bf8c1be19bf701a9 |
completed | May 14, 2026, 9:08 a.m. |
| NEDg | Description generation | batch_6a0592ba34a08190af60cd441d0c80a2 |
completed | May 14, 2026, 9:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05931832d8819086a176c1f9473943 |
completed | May 14, 2026, 9:17 a.m. |
Created at: April 10, 2026, 11:58 a.m.