Triple
T5392678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dornach |
E120369
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object |
Gempen
Gempen is a Swiss municipality in the canton of Solothurn, known for its elevated plateau and scenic views over the Basel region.
|
E688620
|
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: Gempen | Statement: [Dornach, sharesBorderWith, Gempen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gempen Context triple: [Dornach, sharesBorderWith, Gempen]
-
A.
Bodegraven
Bodegraven is a town in the Dutch province of South Holland, known for its cheese production and location in the Green Heart region of the Netherlands.
-
B.
Schoorl
Schoorl is a coastal village in North Holland, the Netherlands, known for its extensive dune landscapes and as the birthplace of Renaissance painter Jan van Scorel.
-
C.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
D.
Veenendaal
Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
-
E.
Yerseke
Yerseke is a Dutch village in the province of Zeeland, best known for its mussel and oyster farming along the Eastern Scheldt.
- 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: Gempen Triple: [Dornach, sharesBorderWith, Gempen]
Generated description
Gempen is a Swiss municipality in the canton of Solothurn, known for its elevated plateau and scenic views over the Basel region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gempen Target entity description: Gempen is a Swiss municipality in the canton of Solothurn, known for its elevated plateau and scenic views over the Basel region.
-
A.
Bodegraven
Bodegraven is a town in the Dutch province of South Holland, known for its cheese production and location in the Green Heart region of the Netherlands.
-
B.
Schoorl
Schoorl is a coastal village in North Holland, the Netherlands, known for its extensive dune landscapes and as the birthplace of Renaissance painter Jan van Scorel.
-
C.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
D.
Veenendaal
Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
-
E.
Yerseke
Yerseke is a Dutch village in the province of Zeeland, best known for its mussel and oyster farming along the Eastern Scheldt.
- 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd8719ff04819089e3a90f90b5e3fc |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8de86454081909232f45fa7d48976 |
completed | March 29, 2026, 8:10 a.m. |
| NEDg | Description generation | batch_69c8df95d77c8190abb80b9b59f20ee3 |
completed | March 29, 2026, 8:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8e037620c8190aa5948b68756793d |
completed | March 29, 2026, 8:17 a.m. |
Created at: March 20, 2026, 2:04 p.m.