Triple
T10187888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMS König |
E236956
|
entity |
| Predicate | sisterShip |
P3142
|
FINISHED |
| Object |
SMS Markgraf
SMS Markgraf was a German Kaiser-class dreadnought battleship of the Imperial German Navy that served in World War I, including at the Battle of Jutland.
|
E847216
|
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: SMS Markgraf | Statement: [SMS König, sisterShip, SMS Markgraf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SMS Markgraf Context triple: [SMS König, sisterShip, SMS Markgraf]
-
A.
Senden
Senden is a town in the district of Neu-Ulm in Bavaria, Germany, known for its residential character and proximity to the cities of Ulm and Neu-Ulm.
-
B.
Schmarbeck
Schmarbeck is a small watercourse in Lower Saxony, Germany, known as one of the minor streams feeding into the Örtze River within the Lüneburg Heath region.
-
C.
Schiffhauer
Schiffhauer is a surname, likely a variant of the German family name "Schiff."
-
D.
Schwartau
Schwartau is a river in northern Germany that flows through the state of Schleswig-Holstein before joining the Trave.
-
E.
Graf
Graf is a historical German noble title roughly equivalent to a count in other European aristocratic systems.
- 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: SMS Markgraf Triple: [SMS König, sisterShip, SMS Markgraf]
Generated description
SMS Markgraf was a German Kaiser-class dreadnought battleship of the Imperial German Navy that served in World War I, including at the Battle of Jutland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SMS Markgraf Target entity description: SMS Markgraf was a German Kaiser-class dreadnought battleship of the Imperial German Navy that served in World War I, including at the Battle of Jutland.
-
A.
Senden
Senden is a town in the district of Neu-Ulm in Bavaria, Germany, known for its residential character and proximity to the cities of Ulm and Neu-Ulm.
-
B.
Schmarbeck
Schmarbeck is a small watercourse in Lower Saxony, Germany, known as one of the minor streams feeding into the Örtze River within the Lüneburg Heath region.
-
C.
Schiffhauer
Schiffhauer is a surname, likely a variant of the German family name "Schiff."
-
D.
Schwartau
Schwartau is a river in northern Germany that flows through the state of Schleswig-Holstein before joining the Trave.
-
E.
Graf
Graf is a historical German noble title roughly equivalent to a count in other European aristocratic systems.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded7a7aac8190af8dcb8374e62d68 |
completed | April 2, 2026, 4:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317adddc88190a41d0eabe64f952b |
completed | April 6, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69d31b9f32c08190af2e71641e9542b0 |
completed | April 6, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d31c421e1081908763cc97e0b1317c |
completed | April 6, 2026, 2:36 a.m. |
Created at: March 30, 2026, 9:12 p.m.