Triple
T18304204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vlagtwedde |
E438439
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Veele
Veele is a small village in the municipality of Vlagtwedde in the province of Groningen in the Netherlands.
|
E1317403
|
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: Veele | Statement: [Vlagtwedde, hasSettlement, Veele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veele Context triple: [Vlagtwedde, hasSettlement, Veele]
-
A.
Vaise
Vaise is a neighborhood in the 9th arrondissement of Lyon, France, known as a residential and commercial area connected to the city center by Lyon Metro line D.
-
B.
Velkua
Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
-
C.
Valga
Valga is a small border town in southern Estonia known for forming a twin city with Valka in Latvia.
-
D.
Vesanto
Vesanto is a small rural municipality in eastern Finland known for its lakes, forests, and traditional Finnish countryside.
-
E.
Valemen
The Valemen are the hardy, mountain-dwelling people of the Vale of Arryn in the world of "A Song of Ice and Fire," known for their fierce independence and rugged lifestyle.
- 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: Veele Triple: [Vlagtwedde, hasSettlement, Veele]
Generated description
Veele is a small village in the municipality of Vlagtwedde in the province of Groningen in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Veele Target entity description: Veele is a small village in the municipality of Vlagtwedde in the province of Groningen in the Netherlands.
-
A.
Vaise
Vaise is a neighborhood in the 9th arrondissement of Lyon, France, known as a residential and commercial area connected to the city center by Lyon Metro line D.
-
B.
Velkua
Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
-
C.
Valga
Valga is a small border town in southern Estonia known for forming a twin city with Valka in Latvia.
-
D.
Vesanto
Vesanto is a small rural municipality in eastern Finland known for its lakes, forests, and traditional Finnish countryside.
-
E.
Valemen
The Valemen are the hardy, mountain-dwelling people of the Vale of Arryn in the world of "A Song of Ice and Fire," known for their fierce independence and rugged lifestyle.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5018256508190b024980e3a4a3ae9 |
completed | April 19, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb5ff1e0819089602e4a0942582d |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bd7388f48190bc4248b999053a21 |
completed | May 12, 2026, 11:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03be6ec6208190858af9401f33ead6 |
completed | May 12, 2026, 11:57 p.m. |
Created at: April 10, 2026, 10:35 a.m.