Triple
T9251364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iława |
E222330
|
entity |
| Predicate | GermanName |
P6492
|
FINISHED |
| Object |
Deutsch Eylau
Deutsch Eylau is the former German name of the town now known as Iława in northern Poland, historically part of East Prussia.
|
E787633
|
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: Deutsch Eylau | Statement: [Iława, GermanName, Deutsch Eylau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deutsch Eylau Context triple: [Iława, GermanName, Deutsch Eylau]
-
A.
Zeuthen
Zeuthen is a municipality in Brandenburg, Germany, known for hosting a major campus of the DESY particle physics research center.
-
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.
Bad Lauchstädt
Bad Lauchstädt is a historic spa town in the German state of Saxony-Anhalt, known for its classical Kurpark and Goethe-Theater.
-
D.
Drobytsky Yar
Drobytsky Yar is a ravine near Kharkiv, Ukraine, that serves as a major Holocaust memorial site commemorating the mass execution of Jews by Nazi forces during World War II.
-
E.
Pillau
Pillau is a Baltic port town (now Baltiysk in Russia’s Kaliningrad Oblast) historically significant as a major evacuation point for German civilians and troops during the final months of 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: Deutsch Eylau Triple: [Iława, GermanName, Deutsch Eylau]
Generated description
Deutsch Eylau is the former German name of the town now known as Iława in northern Poland, historically part of East Prussia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deutsch Eylau Target entity description: Deutsch Eylau is the former German name of the town now known as Iława in northern Poland, historically part of East Prussia.
-
A.
Zeuthen
Zeuthen is a municipality in Brandenburg, Germany, known for hosting a major campus of the DESY particle physics research center.
-
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.
Bad Lauchstädt
Bad Lauchstädt is a historic spa town in the German state of Saxony-Anhalt, known for its classical Kurpark and Goethe-Theater.
-
D.
Drobytsky Yar
Drobytsky Yar is a ravine near Kharkiv, Ukraine, that serves as a major Holocaust memorial site commemorating the mass execution of Jews by Nazi forces during World War II.
-
E.
Pillau
Pillau is a Baltic port town (now Baltiysk in Russia’s Kaliningrad Oblast) historically significant as a major evacuation point for German civilians and troops during the final months of World War II.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05f9ade48190ac8425a1c6f066b1 |
completed | April 1, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0780650648190bc85452678268134 |
completed | April 4, 2026, 2:31 a.m. |
| NEDg | Description generation | batch_69d080275cdc8190bb900671756bacb8 |
completed | April 4, 2026, 3:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d080c936348190a3bfda72ff5ec5c0 |
completed | April 4, 2026, 3:08 a.m. |
Created at: March 30, 2026, 7:31 p.m.