Triple
T8554052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NS Sprinter |
E202518
|
entity |
| Predicate | usedRollingStock |
P5426
|
FINISHED |
| Object |
NS SLT
NS SLT is a class of modern electric multiple-unit commuter trains operated by the Dutch national railway company for short-distance Sprinter services.
|
E741976
|
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 SLT | Statement: [NS Sprinter, usedRollingStock, NS SLT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NS SLT Context triple: [NS Sprinter, usedRollingStock, NS SLT]
-
A.
SLT
SLT is a well-equipped, mid-to-upper trim level commonly associated with GMC trucks and SUVs, offering upgraded comfort, technology, and appearance features.
-
B.
SL1
SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
-
C.
SL4
SL4 is a branch of Boston’s MBTA Silver Line bus rapid transit service that runs between downtown and the Seaport/South Station area.
-
D.
SL2
SL2 is a branch of Boston’s MBTA Silver Line bus rapid transit service that connects South Station with the Seaport and Design Center area.
-
E.
SL2
SL2 is a British rave and breakbeat hardcore group best known for early 1990s hits like "On a Ragga Tip."
- 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 SLT Triple: [NS Sprinter, usedRollingStock, NS SLT]
Generated description
NS SLT is a class of modern electric multiple-unit commuter trains operated by the Dutch national railway company for short-distance Sprinter services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NS SLT Target entity description: NS SLT is a class of modern electric multiple-unit commuter trains operated by the Dutch national railway company for short-distance Sprinter services.
-
A.
SLT
SLT is a well-equipped, mid-to-upper trim level commonly associated with GMC trucks and SUVs, offering upgraded comfort, technology, and appearance features.
-
B.
SL1
SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
-
C.
SL4
SL4 is a branch of Boston’s MBTA Silver Line bus rapid transit service that runs between downtown and the Seaport/South Station area.
-
D.
SL2
SL2 is a branch of Boston’s MBTA Silver Line bus rapid transit service that connects South Station with the Seaport and Design Center area.
-
E.
SL2
SL2 is a British rave and breakbeat hardcore group best known for early 1990s hits like "On a Ragga Tip."
- 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.