Triple
T16549385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birkenwerder |
E402028
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object |
Briese
Briese is a small river in Brandenburg, Germany, known for flowing through the town of Birkenwerder and its surrounding natural landscapes.
|
E1219398
|
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: Briese | Statement: [Birkenwerder, locatedOnRiver, Briese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Briese Context triple: [Birkenwerder, locatedOnRiver, Briese]
-
A.
Brysen
Brysen is a modern given name, typically used for boys, considered a variant spelling of Bryson.
-
B.
Maberly
Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
-
C.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
-
D.
Cairon
Cairon is a small commune in the Calvados department of the Normandy region in northwestern France.
-
E.
Corrsin
Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
- 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: Briese Triple: [Birkenwerder, locatedOnRiver, Briese]
Generated description
Briese is a small river in Brandenburg, Germany, known for flowing through the town of Birkenwerder and its surrounding natural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Briese Target entity description: Briese is a small river in Brandenburg, Germany, known for flowing through the town of Birkenwerder and its surrounding natural landscapes.
-
A.
Brysen
Brysen is a modern given name, typically used for boys, considered a variant spelling of Bryson.
-
B.
Maberly
Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
-
C.
Breyten
Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
-
D.
Cairon
Cairon is a small commune in the Calvados department of the Normandy region in northwestern France.
-
E.
Corrsin
Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc323a88190b5c2a34de0a3c7f0 |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b6ca44819085145eb48356e7b4 |
completed | May 10, 2026, 11:10 a.m. |
| NEDg | Description generation | batch_6a00687d228081909d0a39f2c23d4e4d |
completed | May 10, 2026, 11:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a006907419881909e8f71714bbe054a |
completed | May 10, 2026, 11:16 a.m. |
Created at: April 10, 2026, 5:15 a.m.