Triple
T15542113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SMS Brummer |
E370504
|
entity |
| Predicate | sisterShip |
P3142
|
FINISHED |
| Object |
SMS Bremse
SMS Bremse was a German Imperial Navy Brummer-class mine-laying light cruiser that served during World War I.
|
E1163319
|
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 Bremse | Statement: [SMS Brummer, sisterShip, SMS Bremse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SMS Bremse Context triple: [SMS Brummer, sisterShip, SMS Bremse]
-
A.
SMS
SMS (Short Message Service) is a standardized text messaging service that allows mobile devices to exchange short alphanumeric messages over cellular networks.
-
B.
SMS
SMS is a third-generation 8-bit home video game console developed and released by Sega as a competitor to Nintendo’s NES.
-
C.
SMS Saida
SMS Saida was a light cruiser of the Austro-Hungarian Navy that served during World War I in the Adriatic Sea.
-
D.
SMS Pommern
SMS Pommern was a pre-dreadnought battleship of the German Imperial Navy that served in World War I and was sunk at the Battle of Jutland in 1916.
-
E.
ESMS
ESMS is the ICAO airport code for Malmö Airport, an international airport serving the Malmö region in southern Sweden.
- 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 Bremse Triple: [SMS Brummer, sisterShip, SMS Bremse]
Generated description
SMS Bremse was a German Imperial Navy Brummer-class mine-laying light cruiser that served during World War I.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SMS Bremse Target entity description: SMS Bremse was a German Imperial Navy Brummer-class mine-laying light cruiser that served during World War I.
-
A.
SMS
SMS (Short Message Service) is a standardized text messaging service that allows mobile devices to exchange short alphanumeric messages over cellular networks.
-
B.
SMS
SMS is a third-generation 8-bit home video game console developed and released by Sega as a competitor to Nintendo’s NES.
-
C.
SMS Saida
SMS Saida was a light cruiser of the Austro-Hungarian Navy that served during World War I in the Adriatic Sea.
-
D.
SMS Pommern
SMS Pommern was a pre-dreadnought battleship of the German Imperial Navy that served in World War I and was sunk at the Battle of Jutland in 1916.
-
E.
ESMS
ESMS is the ICAO airport code for Malmö Airport, an international airport serving the Malmö region in southern Sweden.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04432c3808190bb5b653bf8de30c6 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4558677881908704ac86c12e1fc4 |
completed | May 9, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69ff468d1db88190ad71bc6780df5439 |
completed | May 9, 2026, 2:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff472fb24c8190912755bd95ef50c9 |
completed | May 9, 2026, 2:39 p.m. |
Created at: April 10, 2026, 4:07 a.m.