Triple
T20961087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eder |
E516244
|
entity |
| Predicate | majorTributary |
P415
|
FINISHED |
| Object |
Odeborn
Odeborn is a river in Germany that flows through the Rothaar Mountains and joins the Eder as one of its tributaries.
|
E1459739
|
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: Odeborn | Statement: [Eder, majorTributary, Odeborn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odeborn Context triple: [Eder, majorTributary, Odeborn]
-
A.
Orbey
Orbey is a commune in the Haut-Rhin department of northeastern France, situated in the Vosges mountains within the Alsace region.
-
B.
Orciatico
Orciatico is a small village in Tuscany, central Italy, known for its scenic rural landscape and traditional Italian countryside character.
-
C.
Oederan
Oederan is a small historic town in the Free State of Saxony in eastern Germany, known for its traditional architecture and model railway park.
-
D.
Odensala
Odensala is a locality within Östersund Municipality in Jämtland County, Sweden, functioning as a residential area near the city of Östersund.
-
E.
Gravedona
Gravedona is a picturesque town on the shores of Lake Como in northern Italy, known for its historic churches and scenic lakeside setting.
- 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: Odeborn Triple: [Eder, majorTributary, Odeborn]
Generated description
Odeborn is a river in Germany that flows through the Rothaar Mountains and joins the Eder as one of its tributaries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Odeborn Target entity description: Odeborn is a river in Germany that flows through the Rothaar Mountains and joins the Eder as one of its tributaries.
-
A.
Orbey
Orbey is a commune in the Haut-Rhin department of northeastern France, situated in the Vosges mountains within the Alsace region.
-
B.
Orciatico
Orciatico is a small village in Tuscany, central Italy, known for its scenic rural landscape and traditional Italian countryside character.
-
C.
Oederan
Oederan is a small historic town in the Free State of Saxony in eastern Germany, known for its traditional architecture and model railway park.
-
D.
Odensala
Odensala is a locality within Östersund Municipality in Jämtland County, Sweden, functioning as a residential area near the city of Östersund.
-
E.
Gravedona
Gravedona is a picturesque town on the shores of Lake Como in northern Italy, known for its historic churches and scenic lakeside setting.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6f134081908b1ed48ce708f3d5 |
completed | April 21, 2026, 4:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a092798800481909d437b58467f8e2b |
completed | May 17, 2026, 2:27 a.m. |
| NEDg | Description generation | batch_6a0928b4be448190bd862c8f971e61d9 |
completed | May 17, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0929734a5c8190911e54b601118bae |
completed | May 17, 2026, 2:35 a.m. |
Created at: April 16, 2026, 1:31 p.m.