Triple
T17053020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Losser |
E413748
|
entity |
| Predicate | hasSeat |
P3522
|
FINISHED |
| Object |
Losser (town)
Losser (town) is a municipality and village in the province of Overijssel in the eastern Netherlands, near the German border.
|
E1248518
|
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: Losser (town) | Statement: [Losser, hasSeat, Losser (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Losser (town) Context triple: [Losser, hasSeat, Losser (town)]
-
A.
Town of LaSalle
The Town of LaSalle is a suburban municipality in southwestern Ontario, Canada, located along the Detroit River just south of Windsor.
-
B.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
-
C.
Loretteville
Loretteville is a residential district within Quebec City, Canada, known for its suburban character and local services.
-
D.
Luthersville
Luthersville is a small rural city in Meriwether County, Georgia, known for its quiet residential character and location in west-central Georgia.
-
E.
Lorneville
Lorneville is a residential and industrial neighbourhood located on the western side of Saint John, New Brunswick, Canada.
- 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: Losser (town) Triple: [Losser, hasSeat, Losser (town)]
Generated description
Losser (town) is a municipality and village in the province of Overijssel in the eastern Netherlands, near the German border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Losser (town) Target entity description: Losser (town) is a municipality and village in the province of Overijssel in the eastern Netherlands, near the German border.
-
A.
Town of LaSalle
The Town of LaSalle is a suburban municipality in southwestern Ontario, Canada, located along the Detroit River just south of Windsor.
-
B.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
-
C.
Loretteville
Loretteville is a residential district within Quebec City, Canada, known for its suburban character and local services.
-
D.
Luthersville
Luthersville is a small rural city in Meriwether County, Georgia, known for its quiet residential character and location in west-central Georgia.
-
E.
Lorneville
Lorneville is a residential and industrial neighbourhood located on the western side of Saint John, New Brunswick, Canada.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa491008190ad013ee37532aa51 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012343eca0819086a07511c5d22878 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a012585a1548190a112f55e2d84ccac |
completed | May 11, 2026, 12:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0126536c348190b9b2eadb4969f8c2 |
completed | May 11, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:34 a.m.