Triple
T23318272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marnixstraat |
E590773
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object |
Leidsekade
Leidsekade is a canal-side street in central Amsterdam known for its historic buildings, hotels, and proximity to the bustling Leidseplein entertainment area.
|
E1580991
|
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: Leidsekade | Statement: [Marnixstraat, hasJunctionWith, Leidsekade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leidsekade Context triple: [Marnixstraat, hasJunctionWith, Leidsekade]
-
A.
Stöllet
Stöllet is a small locality in central Sweden situated within Torsby Municipality in Värmland County.
-
B.
Kortessem
Kortessem is a small municipality in the Belgian province of Limburg, known for its rural character and historic churches and castles.
-
C.
Kaarsild
Kaarsild is a pedestrian arch bridge in Tartu, Estonia, known for spanning the Emajõgi River and offering scenic views of the city.
-
D.
Schlegeiskees
Schlegeiskees is a glacier located in the Zillertal Alps of Austria, known for its alpine scenery and retreating ice.
-
E.
Schindellegi
Schindellegi is a village in the municipality of Feusisberg in the canton of Schwyz, Switzerland, known as a residential community in the greater Zurich area.
- 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: Leidsekade Triple: [Marnixstraat, hasJunctionWith, Leidsekade]
Generated description
Leidsekade is a canal-side street in central Amsterdam known for its historic buildings, hotels, and proximity to the bustling Leidseplein entertainment area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leidsekade Target entity description: Leidsekade is a canal-side street in central Amsterdam known for its historic buildings, hotels, and proximity to the bustling Leidseplein entertainment area.
-
A.
Stöllet
Stöllet is a small locality in central Sweden situated within Torsby Municipality in Värmland County.
-
B.
Kortessem
Kortessem is a small municipality in the Belgian province of Limburg, known for its rural character and historic churches and castles.
-
C.
Kaarsild
Kaarsild is a pedestrian arch bridge in Tartu, Estonia, known for spanning the Emajõgi River and offering scenic views of the city.
-
D.
Schlegeiskees
Schlegeiskees is a glacier located in the Zillertal Alps of Austria, known for its alpine scenery and retreating ice.
-
E.
Schindellegi
Schindellegi is a village in the municipality of Feusisberg in the canton of Schwyz, Switzerland, known as a residential community in the greater Zurich area.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978372948190bad066893c4e0768 |
completed | April 29, 2026, 5:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4ca60aac819088dafd529a37d2e3 |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c4f37e390819083df9a959acf3a32 |
completed | May 19, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4fdafde88190a7ac791189acde68 |
completed | May 19, 2026, 11:56 a.m. |
Created at: April 17, 2026, 5:07 p.m.