Triple
T10345345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Posen-West Prussia |
E243730
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Schneidemühl
Schneidemühl was a former German town (now Piła in Poland) that historically served as an important regional administrative and railway center.
|
E857292
|
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: Schneidemühl | Statement: [Province of Posen-West Prussia, capital, Schneidemühl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schneidemühl Context triple: [Province of Posen-West Prussia, capital, Schneidemühl]
-
A.
Dennewitz
Dennewitz is a village in Brandenburg, Germany, historically notable as the site of a major 1813 battle during the Napoleonic Wars.
-
B.
Lommatzsch
Lommatzsch is a small town in the Free State of Saxony in eastern Germany, known for its agricultural surroundings and historic town center.
-
C.
Zeuthen
Zeuthen is a municipality in Brandenburg, Germany, known for hosting a major campus of the DESY particle physics research center.
-
D.
Möderscheid
Möderscheid is a small village that forms part of the municipality of Amel in the German-speaking Community of eastern Belgium.
-
E.
Pölbitz
Pölbitz is a district within the city of Zwickau in the Free State of Saxony, Germany.
- 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: Schneidemühl Triple: [Province of Posen-West Prussia, capital, Schneidemühl]
Generated description
Schneidemühl was a former German town (now Piła in Poland) that historically served as an important regional administrative and railway center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schneidemühl Target entity description: Schneidemühl was a former German town (now Piła in Poland) that historically served as an important regional administrative and railway center.
-
A.
Dennewitz
Dennewitz is a village in Brandenburg, Germany, historically notable as the site of a major 1813 battle during the Napoleonic Wars.
-
B.
Lommatzsch
Lommatzsch is a small town in the Free State of Saxony in eastern Germany, known for its agricultural surroundings and historic town center.
-
C.
Zeuthen
Zeuthen is a municipality in Brandenburg, Germany, known for hosting a major campus of the DESY particle physics research center.
-
D.
Möderscheid
Möderscheid is a small village that forms part of the municipality of Amel in the German-speaking Community of eastern Belgium.
-
E.
Pölbitz
Pölbitz is a district within the city of Zwickau in the Free State of Saxony, Germany.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e923e3d08190971073ce41ff860f |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7507f708c8190b8cf684704a6e47d |
completed | April 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69d751ab890c8190b1549619049dab91 |
completed | April 9, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7619e97588190a1443f9438c6efc0 |
completed | April 9, 2026, 8:21 a.m. |
Created at: April 6, 2026, 11:56 a.m.