Triple
T4250792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Posen |
E95844
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Gnesen
Gnesen is a historic town in western Poland, known as one of the country’s earliest political and religious centers.
|
E424446
|
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: Gnesen | Statement: [Province of Posen, contains, Gnesen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gnesen Context triple: [Province of Posen, contains, Gnesen]
-
A.
Neefe
Neefe is a German surname most notably associated with Christian Gottlob Neefe, an 18th-century composer and one of Beethoven’s early teachers.
-
B.
Kremmen
Kremmen is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
-
C.
Freyung
Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
-
D.
Gantenbein
Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
-
E.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
- 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: Gnesen Triple: [Province of Posen, contains, Gnesen]
Generated description
Gnesen is a historic town in western Poland, known as one of the country’s earliest political and religious centers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gnesen Target entity description: Gnesen is a historic town in western Poland, known as one of the country’s earliest political and religious centers.
-
A.
Neefe
Neefe is a German surname most notably associated with Christian Gottlob Neefe, an 18th-century composer and one of Beethoven’s early teachers.
-
B.
Kremmen
Kremmen is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
-
C.
Freyung
Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
-
D.
Gantenbein
Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
-
E.
Goppenstein
Goppenstein is a small Swiss village in the canton of Valais, best known as a key railway junction and car shuttle station on the Lötschberg route through the Alps.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9f11008190a0021e0ad730a79d |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a88225288190bb627de15da77c42 |
completed | March 14, 2026, 6:27 p.m. |
| NEDg | Description generation | batch_69b5a959f3f08190af8b7b87afe15a54 |
completed | March 14, 2026, 6:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5ad13d2988190bc43050ac73919fa |
completed | March 14, 2026, 6:46 p.m. |
Created at: March 12, 2026, 11:06 p.m.