Triple
T20018802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leksvik |
E494792
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Vanvikan
Vanvikan is a small village in Trøndelag county, Norway, situated along the Trondheimsfjord and known for its ferry connection to the city of Trondheim.
|
E1410396
|
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: Vanvikan | Statement: [Leksvik, containsSettlement, Vanvikan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanvikan Context triple: [Leksvik, containsSettlement, Vanvikan]
-
A.
Vanylven
Vanylven is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
-
B.
Valnontey
Valnontey is a small alpine hamlet and valley in Italy’s Aosta Valley, known as a gateway to Gran Paradiso National Park and a popular destination for hiking and ice climbing.
-
C.
Vastral
Vastral is a residential and developing suburban area in the eastern part of Ahmedabad, Gujarat, India.
-
D.
Vangteh
Vangteh is a dialect of the Tedim Chin language spoken by a subgroup of the Chin people in Myanmar.
-
E.
Valderice
Valderice is a small town and comune in western Sicily, Italy, known for its scenic hillside setting near the historic city of Erice and views over the Gulf of Trapani.
- 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: Vanvikan Triple: [Leksvik, containsSettlement, Vanvikan]
Generated description
Vanvikan is a small village in Trøndelag county, Norway, situated along the Trondheimsfjord and known for its ferry connection to the city of Trondheim.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vanvikan Target entity description: Vanvikan is a small village in Trøndelag county, Norway, situated along the Trondheimsfjord and known for its ferry connection to the city of Trondheim.
-
A.
Vanylven
Vanylven is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
-
B.
Valnontey
Valnontey is a small alpine hamlet and valley in Italy’s Aosta Valley, known as a gateway to Gran Paradiso National Park and a popular destination for hiking and ice climbing.
-
C.
Vastral
Vastral is a residential and developing suburban area in the eastern part of Ahmedabad, Gujarat, India.
-
D.
Vangteh
Vangteh is a dialect of the Tedim Chin language spoken by a subgroup of the Chin people in Myanmar.
-
E.
Valderice
Valderice is a small town and comune in western Sicily, Italy, known for its scenic hillside setting near the historic city of Erice and views over the Gulf of Trapani.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623e40748190b1abb0ead9acab4e |
completed | April 20, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081f2b9e908190820c5bb3bf8bb28c |
completed | May 16, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_6a08201f36b88190b3c80942de463d36 |
completed | May 16, 2026, 7:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08208c203c819083abea34d10d5e4e |
completed | May 16, 2026, 7:45 a.m. |
Created at: April 11, 2026, 3:34 p.m.