Triple
T3014059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landsberg am Lech |
E82292
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object |
Lech
Lech is a major river in Central Europe that flows through Austria and southern Germany before joining the Danube.
|
E322539
|
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: Lech | Statement: [Landsberg am Lech, locatedOnRiver, Lech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lech Context triple: [Landsberg am Lech, locatedOnRiver, Lech]
-
A.
Lech
Lech is a Polish masculine given name most famously borne by Lech Wałęsa, the Solidarity leader and former president of Poland.
-
B.
Gietrzwałd
Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Kazimierz
Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
-
E.
Lejzer
Lejzer is the given name of L. L. Zamenhof, the Polish-Jewish ophthalmologist and linguist who created the international auxiliary language Esperanto.
- 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: Lech Triple: [Landsberg am Lech, locatedOnRiver, Lech]
Generated description
Lech is a major river in Central Europe that flows through Austria and southern Germany before joining the Danube.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lech Target entity description: Lech is a major river in Central Europe that flows through Austria and southern Germany before joining the Danube.
-
A.
Lech
Lech is a Polish masculine given name most famously borne by Lech Wałęsa, the Solidarity leader and former president of Poland.
-
B.
Gietrzwałd
Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Kazimierz
Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
-
E.
Lejzer
Lejzer is the given name of L. L. Zamenhof, the Polish-Jewish ophthalmologist and linguist who created the international auxiliary language Esperanto.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a69e8148190a97507740c9d26a8 |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eee74390819087e48b67ed4a9f27 |
completed | March 11, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69b1ef5bbec4819082757bb3ddd614ff |
completed | March 11, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1efdfba0081908e3e30faa8d0f862 |
completed | March 11, 2026, 10:42 p.m. |
Created at: March 8, 2026, 3 p.m.