Triple
T17027860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Town of Basel |
E413112
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Schifflände
Schifflände is a central riverside area and transport hub in Basel, Switzerland, situated along the Rhine at the edge of the city’s historic Old Town.
|
E1246811
|
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: Schifflände | Statement: [Old Town of Basel, contains, Schifflände]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schifflände Context triple: [Old Town of Basel, contains, Schifflände]
-
A.
La Meinau
La Meinau is a football stadium in Strasbourg, France, best known as the long-time home ground of RC Strasbourg Alsace.
-
B.
Forlandet
Forlandet is a long, narrow island off the west coast of Spitsbergen in the Svalbard archipelago, known for its protected wilderness and rich Arctic wildlife.
-
C.
Kamperland
Kamperland is a village in the Dutch province of Zeeland, located on the island of Noord-Beveland and known as a coastal and recreational destination.
-
D.
Tägerwilen
Tägerwilen is a municipality in the canton of Thurgau in northeastern Switzerland, located near Lake Constance and the German border.
-
E.
Orlamünde
Orlamünde is a small historic town in the German state of Thuringia, situated along the Saale River.
- 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: Schifflände Triple: [Old Town of Basel, contains, Schifflände]
Generated description
Schifflände is a central riverside area and transport hub in Basel, Switzerland, situated along the Rhine at the edge of the city’s historic Old Town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schifflände Target entity description: Schifflände is a central riverside area and transport hub in Basel, Switzerland, situated along the Rhine at the edge of the city’s historic Old Town.
-
A.
La Meinau
La Meinau is a football stadium in Strasbourg, France, best known as the long-time home ground of RC Strasbourg Alsace.
-
B.
Forlandet
Forlandet is a long, narrow island off the west coast of Spitsbergen in the Svalbard archipelago, known for its protected wilderness and rich Arctic wildlife.
-
C.
Kamperland
Kamperland is a village in the Dutch province of Zeeland, located on the island of Noord-Beveland and known as a coastal and recreational destination.
-
D.
Tägerwilen
Tägerwilen is a municipality in the canton of Thurgau in northeastern Switzerland, located near Lake Constance and the German border.
-
E.
Orlamünde
Orlamünde is a small historic town in the German state of Thuringia, situated along the Saale River.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d728148190b83367cd6fdefa50 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b553c588190b46785b85142dce5 |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011d2651e88190b6a57fa11e29bb21 |
completed | May 11, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011d99a038819086924a1b2af55967 |
completed | May 11, 2026, 12:06 a.m. |
Created at: April 10, 2026, 5:33 a.m.