Triple
T17027854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Town of Basel |
E413112
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Freie Strasse
Freie Strasse is one of Basel’s main historic shopping streets, known for its upscale boutiques and central location in the Old Town.
|
E1325254
|
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: Freie Strasse | Statement: [Old Town of Basel, contains, Freie Strasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freie Strasse Context triple: [Old Town of Basel, contains, Freie Strasse]
-
A.
Kramerstraße
Kramerstraße is a historic street in Hanover’s Old Town known for its preserved half-timbered houses, traditional shops, and medieval charm.
-
B.
Luxemburger Straße
Luxemburger Straße is a street located near Leopoldplatz in Berlin, Germany.
-
C.
Schweizer Straße
Schweizer Straße is a prominent street in Frankfurt am Main, Germany, known for its shops, cafes, and role as a key thoroughfare in the Sachsenhausen district.
-
D.
Berger Straße
Berger Straße is a prominent and lively shopping and dining street in Frankfurt am Main, known for its mix of boutiques, cafés, bars, and traditional Hessian pubs.
-
E.
Brückenstraße
Brückenstraße is a street in Chemnitz, Germany, known for being the prominent urban backdrop in front of the iconic Karl Marx Monument.
- 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: Freie Strasse Triple: [Old Town of Basel, contains, Freie Strasse]
Generated description
Freie Strasse is one of Basel’s main historic shopping streets, known for its upscale boutiques and central location in the Old Town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Freie Strasse Target entity description: Freie Strasse is one of Basel’s main historic shopping streets, known for its upscale boutiques and central location in the Old Town.
-
A.
Kramerstraße
Kramerstraße is a historic street in Hanover’s Old Town known for its preserved half-timbered houses, traditional shops, and medieval charm.
-
B.
Luxemburger Straße
Luxemburger Straße is a street located near Leopoldplatz in Berlin, Germany.
-
C.
Schweizer Straße
Schweizer Straße is a prominent street in Frankfurt am Main, Germany, known for its shops, cafes, and role as a key thoroughfare in the Sachsenhausen district.
-
D.
Berger Straße
Berger Straße is a prominent and lively shopping and dining street in Frankfurt am Main, known for its mix of boutiques, cafés, bars, and traditional Hessian pubs.
-
E.
Brückenstraße
Brückenstraße is a street in Chemnitz, Germany, known for being the prominent urban backdrop in front of the iconic Karl Marx Monument.
- 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_6a040fc34f4c8190a1ae536e544b2543 |
completed | May 13, 2026, 5:44 a.m. |
| NEDg | Description generation | batch_6a04123430308190af22a11b2151c8b8 |
completed | May 13, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04131eb4988190af4024bfcad648bc |
completed | May 13, 2026, 5:58 a.m. |
Created at: April 10, 2026, 5:33 a.m.