Triple
T3181109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isar |
E66587
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Würm
Würm is a river in Bavaria, Germany, known for flowing from Lake Starnberg through several towns before joining the Isar River near Munich.
|
E333214
|
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: Würm | Statement: [Isar, hasTributary, Würm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Würm Context triple: [Isar, hasTributary, Würm]
-
A.
Zwenkau
Zwenkau is a small town in the Free State of Saxony in eastern Germany, situated near Leipzig and known for its proximity to former lignite mining areas now being transformed into lake landscapes.
-
B.
Unterweser
Unterweser is the name given to the lower tidal section of the Weser River in northwestern Germany, extending from near Bremen to its mouth at the North Sea.
-
C.
Ormur
Ormur is a lesser-known Eastern Iranian language spoken primarily by the Ormur people in parts of Afghanistan and Pakistan.
-
D.
Ehrwald
Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
-
E.
Flöha
Flöha is a small town in the Free State of Saxony in eastern Germany, situated near Chemnitz and known historically as a local railway and industrial hub.
- 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: Würm Triple: [Isar, hasTributary, Würm]
Generated description
Würm is a river in Bavaria, Germany, known for flowing from Lake Starnberg through several towns before joining the Isar River near Munich.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Würm Target entity description: Würm is a river in Bavaria, Germany, known for flowing from Lake Starnberg through several towns before joining the Isar River near Munich.
-
A.
Zwenkau
Zwenkau is a small town in the Free State of Saxony in eastern Germany, situated near Leipzig and known for its proximity to former lignite mining areas now being transformed into lake landscapes.
-
B.
Unterweser
Unterweser is the name given to the lower tidal section of the Weser River in northwestern Germany, extending from near Bremen to its mouth at the North Sea.
-
C.
Ormur
Ormur is a lesser-known Eastern Iranian language spoken primarily by the Ormur people in parts of Afghanistan and Pakistan.
-
D.
Ehrwald
Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
-
E.
Flöha
Flöha is a small town in the Free State of Saxony in eastern Germany, situated near Chemnitz and known historically as a local railway and industrial hub.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6a1280c8190b59a2afd30312c02 |
completed | March 8, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235fd1688819080fa1d73d2b233ba |
completed | March 12, 2026, 3:41 a.m. |
| NEDg | Description generation | batch_69b236e61ae88190a76b942c6cddff41 |
completed | March 12, 2026, 3:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b23770ed4c8190b5d929cc95a286a0 |
completed | March 12, 2026, 3:48 a.m. |
Created at: March 8, 2026, 3:06 p.m.