Triple
T17052874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IJssel bridge |
E413744
|
entity |
| Predicate | situatedNear |
P3449
|
FINISHED |
| Object |
Kampen city centre
Kampen city centre is the historic heart of the Dutch city of Kampen, known for its medieval architecture, old city gates, and picturesque streets along the IJssel River.
|
E1248493
|
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: Kampen city centre | Statement: [IJssel bridge, situatedNear, Kampen city centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kampen city centre Context triple: [IJssel bridge, situatedNear, Kampen city centre]
-
A.
Innenstadt
Innenstadt is the central urban district of Frankfurt am Main, known as the city’s historic core and primary commercial area.
-
B.
Stadtmitte
Stadtmitte is the central urban district and main downtown area of the town of Eberswalde in Germany.
-
C.
Stadtmitte
Stadtmitte is a central Berlin U-Bahn station serving as an important interchange and access point to the city’s historic Mitte district.
-
D.
Stadtmitte
Stadtmitte is the central urban district of the town of Bad Honnef in North Rhine-Westphalia, Germany.
-
E.
Centrum
Centrum is the central district and main urban core of the Dutch municipality of Ridderkerk.
- 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: Kampen city centre Triple: [IJssel bridge, situatedNear, Kampen city centre]
Generated description
Kampen city centre is the historic heart of the Dutch city of Kampen, known for its medieval architecture, old city gates, and picturesque streets along the IJssel River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kampen city centre Target entity description: Kampen city centre is the historic heart of the Dutch city of Kampen, known for its medieval architecture, old city gates, and picturesque streets along the IJssel River.
-
A.
Innenstadt
Innenstadt is the central urban district of Frankfurt am Main, known as the city’s historic core and primary commercial area.
-
B.
Stadtmitte
Stadtmitte is the central urban district and main downtown area of the town of Eberswalde in Germany.
-
C.
Stadtmitte
Stadtmitte is a central Berlin U-Bahn station serving as an important interchange and access point to the city’s historic Mitte district.
-
D.
Stadtmitte
Stadtmitte is the central urban district of the town of Bad Honnef in North Rhine-Westphalia, Germany.
-
E.
Centrum
Centrum is the central district and main urban core of the Dutch municipality of Ridderkerk.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa3324881908d9e445ba1cfe109 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012343eca0819086a07511c5d22878 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a012585a1548190a112f55e2d84ccac |
completed | May 11, 2026, 12:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0126536c348190b9b2eadb4969f8c2 |
completed | May 11, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:34 a.m.