Triple
T9190053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pasym |
E220558
|
entity |
| Predicate | formerlyKnownAs |
P65
|
FINISHED |
| Object |
Passenheim
Passenheim is the former German name of the town now known as Pasym, located in northeastern Poland’s historic region of Masuria.
|
E830802
|
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: Passenheim | Statement: [Pasym, formerlyKnownAs, Passenheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Passenheim Context triple: [Pasym, formerlyKnownAs, Passenheim]
-
A.
Geisenheim
Geisenheim is a German town in the Rheingau wine region, known for its viticulture, wine production, and renowned university of applied sciences for wine and horticulture.
-
B.
Badenweiler
Badenweiler is a spa town in southwestern Germany’s Black Forest region, known for its thermal baths and as the place where Russian writer Anton Chekhov died.
-
C.
Buhlbronn
Buhlbronn is a village-sized district of the town of Schorndorf in the German state of Baden-Württemberg.
-
D.
Botenheim
Botenheim is a small village and district (Ortsteil) of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
-
E.
Bruchsal
Bruchsal is a town in the state of Baden-Württemberg in southwestern Germany, known for its baroque palace and asparagus cultivation.
- 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: Passenheim Triple: [Pasym, formerlyKnownAs, Passenheim]
Generated description
Passenheim is the former German name of the town now known as Pasym, located in northeastern Poland’s historic region of Masuria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Passenheim Target entity description: Passenheim is the former German name of the town now known as Pasym, located in northeastern Poland’s historic region of Masuria.
-
A.
Geisenheim
Geisenheim is a German town in the Rheingau wine region, known for its viticulture, wine production, and renowned university of applied sciences for wine and horticulture.
-
B.
Badenweiler
Badenweiler is a spa town in southwestern Germany’s Black Forest region, known for its thermal baths and as the place where Russian writer Anton Chekhov died.
-
C.
Buhlbronn
Buhlbronn is a village-sized district of the town of Schorndorf in the German state of Baden-Württemberg.
-
D.
Botenheim
Botenheim is a small village and district (Ortsteil) of the town of Brackenheim in the Heilbronn district of Baden-Württemberg, Germany.
-
E.
Bruchsal
Bruchsal is a town in the state of Baden-Württemberg in southwestern Germany, known for its baroque palace and asparagus cultivation.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5bd8c5c81909d0cdbcd7410fcee |
completed | April 1, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228318de881909bbf4e68331bb586 |
completed | April 5, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_69d22968194c8190b919ed3ab2dcfc33 |
completed | April 5, 2026, 9:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d229d10dac81909f34a9977e6445a0 |
completed | April 5, 2026, 9:22 a.m. |
Created at: March 30, 2026, 7:24 p.m.