Triple
T8554054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NS Sprinter |
E202518
|
entity |
| Predicate | usedRollingStock |
P5426
|
FINISHED |
| Object |
NS SNG
NS SNG is a modern electric multiple unit train operated by the Dutch railway company Nederlandse Spoorwegen for regional and commuter services.
|
E741977
|
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: NS SNG | Statement: [NS Sprinter, usedRollingStock, NS SNG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NS SNG Context triple: [NS Sprinter, usedRollingStock, NS SNG]
-
A.
nso
"nso" is the ISO 639-2 language code for Northern Sotho, a Bantu language spoken primarily in South Africa.
-
B.
SGN
SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
-
C.
NSZ
NSZ was a Polish nationalist underground military organization that operated during World War II, primarily resisting both Nazi German and Soviet occupation.
-
D.
SANG
SANG is the acronym for the Saudi Arabian National Guard, a key military and security force responsible for protecting the Saudi royal family, strategic facilities, and internal stability.
-
E.
NS
NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
- 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: NS SNG Triple: [NS Sprinter, usedRollingStock, NS SNG]
Generated description
NS SNG is a modern electric multiple unit train operated by the Dutch railway company Nederlandse Spoorwegen for regional and commuter services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NS SNG Target entity description: NS SNG is a modern electric multiple unit train operated by the Dutch railway company Nederlandse Spoorwegen for regional and commuter services.
-
A.
nso
"nso" is the ISO 639-2 language code for Northern Sotho, a Bantu language spoken primarily in South Africa.
-
B.
SGN
SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
-
C.
NSZ
NSZ was a Polish nationalist underground military organization that operated during World War II, primarily resisting both Nazi German and Soviet occupation.
-
D.
SANG
SANG is the acronym for the Saudi Arabian National Guard, a key military and security force responsible for protecting the Saudi royal family, strategic facilities, and internal stability.
-
E.
NS
NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe8894e7c8190bc0ae2ceec473ecb |
completed | March 31, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dd67d288190a147562a99ecde56 |
completed | April 2, 2026, 1:23 p.m. |
| NEDg | Description generation | batch_69ce6ee1bae4819099ef302138599b34 |
completed | April 2, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fb93fd88190bc53a925473f9b71 |
completed | April 2, 2026, 1:31 p.m. |
Created at: March 30, 2026, 6:19 p.m.