Triple
T23553726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jannowitzbrücke |
E578121
|
entity |
| Predicate | hasNearbyLandmark |
P2064
|
FINISHED |
| Object |
Holzmarkt
Holzmarkt is a creative riverside cultural complex in Berlin featuring bars, event spaces, studios, and community projects along the Spree.
|
E1590127
|
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: Holzmarkt | Statement: [Jannowitzbrücke, hasNearbyLandmark, Holzmarkt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holzmarkt Context triple: [Jannowitzbrücke, hasNearbyLandmark, Holzmarkt]
-
A.
Hagenholz
Hagenholz is a neighbourhood in Zurich, Switzerland, known for its industrial facilities and transport infrastructure.
-
B.
Holzlar
Holzlar is a district of Bonn in the borough of Beuel, known for its residential character and proximity to natural areas such as the Ennert forest.
-
C.
Kestenholz
Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
-
D.
Riedholz
Riedholz is a small Swiss municipality located in the canton of Solothurn.
-
E.
Holzen
Holzen is a district within the city of Arnsberg in North Rhine-Westphalia, Germany, known primarily as a residential area surrounded by forested Sauerland countryside.
- 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: Holzmarkt Triple: [Jannowitzbrücke, hasNearbyLandmark, Holzmarkt]
Generated description
Holzmarkt is a creative riverside cultural complex in Berlin featuring bars, event spaces, studios, and community projects along the Spree.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Holzmarkt Target entity description: Holzmarkt is a creative riverside cultural complex in Berlin featuring bars, event spaces, studios, and community projects along the Spree.
-
A.
Hagenholz
Hagenholz is a neighbourhood in Zurich, Switzerland, known for its industrial facilities and transport infrastructure.
-
B.
Holzlar
Holzlar is a district of Bonn in the borough of Beuel, known for its residential character and proximity to natural areas such as the Ennert forest.
-
C.
Kestenholz
Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
-
D.
Riedholz
Riedholz is a small Swiss municipality located in the canton of Solothurn.
-
E.
Holzen
Holzen is a district within the city of Arnsberg in North Rhine-Westphalia, Germany, known primarily as a residential area surrounded by forested Sauerland countryside.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aed17fc881908b45dcde14790d42 |
completed | April 29, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf67efbc8190a75c1d6cb9bd63f9 |
completed | May 19, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_6a0ce12579188190befd636d3714675a |
completed | May 19, 2026, 10:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ce187efa48190876f67fef4873af2 |
completed | May 19, 2026, 10:17 p.m. |
Created at: April 17, 2026, 6:11 p.m.