Triple
T12038184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinje |
E286593
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Edland
Edland is a small village in Vinje municipality in Vestfold og Telemark county, Norway, known as a rural settlement in the mountainous Telemark region.
|
E961091
|
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: Edland | Statement: [Vinje, containsSettlement, Edland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edland Context triple: [Vinje, containsSettlement, Edland]
-
A.
Maroelap
Maroelap is the former name of Maloelap Atoll, a coral atoll in the Ratak Chain of the Marshall Islands in the central Pacific Ocean.
-
B.
Lanseria
Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
-
C.
Mazabuka
Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
-
D.
Ngulu Mapu
Ngulu Mapu is the eastern, Argentine sector of the ancestral Mapuche territory within the broader region known as Wallmapu.
-
E.
Drimolen
Drimolen is an important South African paleoanthropological cave site known for yielding significant early hominin fossils within the Cradle of Humankind World Heritage area.
- 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: Edland Triple: [Vinje, containsSettlement, Edland]
Generated description
Edland is a small village in Vinje municipality in Vestfold og Telemark county, Norway, known as a rural settlement in the mountainous Telemark region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edland Target entity description: Edland is a small village in Vinje municipality in Vestfold og Telemark county, Norway, known as a rural settlement in the mountainous Telemark region.
-
A.
Maroelap
Maroelap is the former name of Maloelap Atoll, a coral atoll in the Ratak Chain of the Marshall Islands in the central Pacific Ocean.
-
B.
Lanseria
Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
-
C.
Mazabuka
Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
-
D.
Ngulu Mapu
Ngulu Mapu is the eastern, Argentine sector of the ancestral Mapuche territory within the broader region known as Wallmapu.
-
E.
Drimolen
Drimolen is an important South African paleoanthropological cave site known for yielding significant early hominin fossils within the Cradle of Humankind World Heritage area.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040a8be881908f4841145a7b4e86 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d8a9af881909e28783b0d83ed82 |
completed | May 1, 2026, 12:33 p.m. |
| NEDg | Description generation | batch_69f53d930714819080f92d223d930389 |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f56495830c8190ad5e1767f251b4c5 |
completed | May 2, 2026, 2:42 a.m. |
Created at: April 8, 2026, 9:47 p.m.