Triple
T13441049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanne |
E320360
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object |
Warme Bode
Warme Bode is a river in the Harz Mountains of central Germany, known for flowing through forested valleys and feeding into the Bode river system.
|
E1040954
|
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: Warme Bode | Statement: [Tanne, locatedOnRiver, Warme Bode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warme Bode Context triple: [Tanne, locatedOnRiver, Warme Bode]
-
A.
Waremme
Waremme is a municipality and town in the Walloon Region of Belgium, known as a local administrative and commercial center in the Province of Liège.
-
B.
Mr. Warmth
Mr. Warmth is the ironic nickname of legendary American insult comedian and actor Don Rickles, famed for his sharp wit and acerbic put-downs.
-
C.
Warmbrodt
Warmbrodt is a surname most notably associated with Sara Sothern, the American stage actress and mother of film star Elizabeth Taylor.
-
D.
Warme
Warme is a small river in the German state of Hesse that serves as a tributary of the Diemel.
-
E.
Bad Warmbrunn
Bad Warmbrunn is the former German name of the spa town now known as Cieplice Śląskie-Zdrój in southwestern Poland, historically renowned for its thermal springs.
- 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: Warme Bode Triple: [Tanne, locatedOnRiver, Warme Bode]
Generated description
Warme Bode is a river in the Harz Mountains of central Germany, known for flowing through forested valleys and feeding into the Bode river system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Warme Bode Target entity description: Warme Bode is a river in the Harz Mountains of central Germany, known for flowing through forested valleys and feeding into the Bode river system.
-
A.
Waremme
Waremme is a municipality and town in the Walloon Region of Belgium, known as a local administrative and commercial center in the Province of Liège.
-
B.
Mr. Warmth
Mr. Warmth is the ironic nickname of legendary American insult comedian and actor Don Rickles, famed for his sharp wit and acerbic put-downs.
-
C.
Warmbrodt
Warmbrodt is a surname most notably associated with Sara Sothern, the American stage actress and mother of film star Elizabeth Taylor.
-
D.
Warme
Warme is a small river in the German state of Hesse that serves as a tributary of the Diemel.
-
E.
Bad Warmbrunn
Bad Warmbrunn is the former German name of the spa town now known as Cieplice Śląskie-Zdrój in southwestern Poland, historically renowned for its thermal springs.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee704ac8190b4c7f4e0d3a88494 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7399421908190a7750e37c89a73f6 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73b5f6d60819099f405d5d97e68e9 |
completed | May 3, 2026, 12:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73f549af081908ed018a18b3f31f7 |
completed | May 3, 2026, 12:28 p.m. |
Created at: April 9, 2026, 9:40 p.m.