Triple
T17053041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Losser |
E413748
|
entity |
| Predicate | hasHamlet |
P12354
|
FINISHED |
| Object |
De Poppe
De Poppe is a small hamlet in the municipality of Losser in the eastern Netherlands.
|
E1248521
|
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: De Poppe | Statement: [Losser, hasHamlet, De Poppe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Poppe Context triple: [Losser, hasHamlet, De Poppe]
-
A.
Tjapko Poppens
Tjapko Poppens is a Dutch politician who serves as the mayor of the municipality of Amstelveen in the Netherlands.
-
B.
Gerd Poppe
Gerd Poppe is a German civil rights activist and politician who became a leading reformist figure during the final years of the German Democratic Republic and its transition to reunification.
-
C.
Gérard Leman
Gérard Leman was a Belgian general best known for leading the defense of Liège against the German invasion at the start of World War I.
-
D.
Jules Schelvis
Jules Schelvis was a Dutch Jewish Holocaust survivor, historian, and author who became a leading expert and witness on the Sobibor extermination camp.
-
E.
Nissart
Nissart is a regional variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
- 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: De Poppe Triple: [Losser, hasHamlet, De Poppe]
Generated description
De Poppe is a small hamlet in the municipality of Losser in the eastern Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De Poppe Target entity description: De Poppe is a small hamlet in the municipality of Losser in the eastern Netherlands.
-
A.
Tjapko Poppens
Tjapko Poppens is a Dutch politician who serves as the mayor of the municipality of Amstelveen in the Netherlands.
-
B.
Gerd Poppe
Gerd Poppe is a German civil rights activist and politician who became a leading reformist figure during the final years of the German Democratic Republic and its transition to reunification.
-
C.
Gérard Leman
Gérard Leman was a Belgian general best known for leading the defense of Liège against the German invasion at the start of World War I.
-
D.
Jules Schelvis
Jules Schelvis was a Dutch Jewish Holocaust survivor, historian, and author who became a leading expert and witness on the Sobibor extermination camp.
-
E.
Nissart
Nissart is a regional variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
- 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.