Triple
T9363365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austro-Hungarian Navy |
E225332
|
entity |
| Predicate | notableShip |
P3345
|
FINISHED |
| Object |
SMS Saida
SMS Saida was a light cruiser of the Austro-Hungarian Navy that served during World War I in the Adriatic Sea.
|
E795161
|
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 Saida | Statement: [Austro-Hungarian Navy, notableShip, SMS Saida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SMS Saida Context triple: [Austro-Hungarian Navy, notableShip, SMS Saida]
-
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.
GoSend
GoSend is Gojek’s on-demand courier and delivery service that enables users to send packages quickly within a city.
-
D.
Talk 'N Text Tropang Texters
Talk 'N Text Tropang Texters is a professional basketball team in the Philippine Basketball Association (PBA), known for its multiple championships and corporate backing by the PLDT group.
-
E.
Sendim
Sendim is a town in northeastern Portugal known for its Mirandese-speaking community and distinct local culture.
- 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 Saida Triple: [Austro-Hungarian Navy, notableShip, SMS Saida]
Generated description
SMS Saida was a light cruiser of the Austro-Hungarian Navy that served during World War I in the Adriatic Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SMS Saida Target entity description: SMS Saida was a light cruiser of the Austro-Hungarian Navy that served during World War I in the Adriatic Sea.
-
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.
GoSend
GoSend is Gojek’s on-demand courier and delivery service that enables users to send packages quickly within a city.
-
D.
Talk 'N Text Tropang Texters
Talk 'N Text Tropang Texters is a professional basketball team in the Philippine Basketball Association (PBA), known for its multiple championships and corporate backing by the PLDT group.
-
E.
Sendim
Sendim is a town in northeastern Portugal known for its Mirandese-speaking community and distinct local culture.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd503ddf8c81908b090afa54ec5e6d |
completed | April 1, 2026, 5:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3eaf2208190967a3a8e82a4070b |
completed | April 4, 2026, 11:20 a.m. |
| NEDg | Description generation | batch_69d0f5127c688190b2b383cd0714a6c3 |
completed | April 4, 2026, 11:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0f61dc2b88190920d754f55caa4ec |
completed | April 4, 2026, 11:29 a.m. |
Created at: March 30, 2026, 7:42 p.m.