Triple
T12308627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vilma |
E293417
|
entity |
| Predicate | variantOf |
P4680
|
FINISHED |
| Object |
Vilhelmina
Vilhelmina is a feminine given name of Germanic origin, often associated with royal and noble bearers and used in various European languages.
|
E973529
|
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: Vilhelmina | Statement: [Vilma, variantOf, Vilhelmina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vilhelmina Context triple: [Vilma, variantOf, Vilhelmina]
-
A.
Fredrikshald
Fredrikshald is the former name of the Norwegian town now known as Halden, a historic border city near Sweden noted for its fortress and role in Norwegian-Swedish conflicts.
-
B.
Kinnula
Kinnula is a small rural municipality in western Central Finland known for its forests, lakes, and outdoor recreation.
-
C.
Sollentuna
Sollentuna is a suburban town in Stockholm County, Sweden, known as part of the Stockholm urban area and a residential and commercial hub just north of the capital.
-
D.
Eivissa
Eivissa is the Catalan name for Ibiza, a popular Mediterranean island in Spain’s Balearic archipelago known for its beaches and nightlife.
-
E.
Smedvig
Smedvig is a Norwegian family name most prominently associated with the Smedvig shipping and oil services business dynasty.
- 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: Vilhelmina Triple: [Vilma, variantOf, Vilhelmina]
Generated description
Vilhelmina is a feminine given name of Germanic origin, often associated with royal and noble bearers and used in various European languages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vilhelmina Target entity description: Vilhelmina is a feminine given name of Germanic origin, often associated with royal and noble bearers and used in various European languages.
-
A.
Fredrikshald
Fredrikshald is the former name of the Norwegian town now known as Halden, a historic border city near Sweden noted for its fortress and role in Norwegian-Swedish conflicts.
-
B.
Kinnula
Kinnula is a small rural municipality in western Central Finland known for its forests, lakes, and outdoor recreation.
-
C.
Sollentuna
Sollentuna is a suburban town in Stockholm County, Sweden, known as part of the Stockholm urban area and a residential and commercial hub just north of the capital.
-
D.
Eivissa
Eivissa is the Catalan name for Ibiza, a popular Mediterranean island in Spain’s Balearic archipelago known for its beaches and nightlife.
-
E.
Smedvig
Smedvig is a Norwegian family name most prominently associated with the Smedvig shipping and oil services business dynasty.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f01ace8819087f245b9216f4dc8 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8243d48190baf25b2927de6c62 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5d746c8190b5b0edfc4832bc6c |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62045b20c819083c755fbe99a9a7f |
completed | May 2, 2026, 4:03 p.m. |
Created at: April 8, 2026, 9:53 p.m.