Triple
T19198113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agdenes |
E470024
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Vassbygda
Vassbygda is a small village in the former Agdenes municipality in Trøndelag county, central Norway.
|
E1362326
|
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: Vassbygda | Statement: [Agdenes, hasSettlement, Vassbygda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vassbygda Context triple: [Agdenes, hasSettlement, Vassbygda]
-
A.
Vestbygd
Vestbygd is a small settlement in the municipality of Lødingen in Nordland county, Norway.
-
B.
Tørvikbygd
Tørvikbygd is a small coastal village in the municipality of Kvam in Vestland county, western Norway, known for its scenic fjordside setting and traditional rural character.
-
C.
Heggjabygda
Heggjabygda is a small rural village in the municipality of Eid in western Norway, known for its scenic fjord-side setting and traditional farming community.
-
D.
Nordbygda
Nordbygda is a small rural settlement located within Løten municipality in Innlandet county, Norway.
-
E.
Bjørheimsbygd
Bjørheimsbygd is a small village in Strand municipality in Rogaland county, southwestern Norway.
- 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: Vassbygda Triple: [Agdenes, hasSettlement, Vassbygda]
Generated description
Vassbygda is a small village in the former Agdenes municipality in Trøndelag county, central Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vassbygda Target entity description: Vassbygda is a small village in the former Agdenes municipality in Trøndelag county, central Norway.
-
A.
Vestbygd
Vestbygd is a small settlement in the municipality of Lødingen in Nordland county, Norway.
-
B.
Tørvikbygd
Tørvikbygd is a small coastal village in the municipality of Kvam in Vestland county, western Norway, known for its scenic fjordside setting and traditional rural character.
-
C.
Heggjabygda
Heggjabygda is a small rural village in the municipality of Eid in western Norway, known for its scenic fjord-side setting and traditional farming community.
-
D.
Nordbygda
Nordbygda is a small rural settlement located within Løten municipality in Innlandet county, Norway.
-
E.
Bjørheimsbygd
Bjørheimsbygd is a small village in Strand municipality in Rogaland county, southwestern Norway.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a8daac8190b3558a1388596fb0 |
completed | April 20, 2026, 9:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f8c2805c8190be95a283c7db864f |
completed | May 15, 2026, 10:43 a.m. |
| NEDg | Description generation | batch_6a06f948932c8190a4ce08178c00b251 |
completed | May 15, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f9e1fb708190958c64fd38d32d04 |
completed | May 15, 2026, 10:48 a.m. |
Created at: April 10, 2026, 12:07 p.m.