Triple
T646932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Blenheim |
E11260
|
entity |
| Predicate | nearRiver |
P350
|
FINISHED |
| Object |
Nebel
Nebel is a small river in Bavaria, Germany, known for its strategic role as part of the battlefield terrain during the 1704 Battle of Blenheim in the War of the Spanish Succession.
|
E81022
|
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: Nebel | Statement: [Battle of Blenheim, nearRiver, Nebel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nebel Context triple: [Battle of Blenheim, nearRiver, Nebel]
-
A.
Valbo
Valbo is a locality in Gävleborg County, Sweden, known as the hometown of NHL ice hockey star Nicklas Bäckström.
-
B.
Hollein
Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
-
C.
Heden
Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
-
D.
Agria
Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
-
E.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
- 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: Nebel Triple: [Battle of Blenheim, nearRiver, Nebel]
Generated description
Nebel is a small river in Bavaria, Germany, known for its strategic role as part of the battlefield terrain during the 1704 Battle of Blenheim in the War of the Spanish Succession.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nebel Target entity description: Nebel is a small river in Bavaria, Germany, known for its strategic role as part of the battlefield terrain during the 1704 Battle of Blenheim in the War of the Spanish Succession.
-
A.
Valbo
Valbo is a locality in Gävleborg County, Sweden, known as the hometown of NHL ice hockey star Nicklas Bäckström.
-
B.
Hollein
Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
-
C.
Heden
Heden is a central district in Gothenburg, Sweden, known for its sports facilities, event venues, and open recreational spaces.
-
D.
Agria
Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
-
E.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f1cb24481909d3b41a56b29dee9 |
completed | March 1, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a580373e3c81909aa9ff50f3b1e781 |
completed | March 2, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_69a5833e10bc819091dba5bb5ec9ea85 |
completed | March 2, 2026, 12:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a583a35678819087d440a05c7b636d |
completed | March 2, 2026, 12:33 p.m. |
Created at: March 1, 2026, 7:36 p.m.