Triple
T4503981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allegro trains between Saint Petersburg and Helsinki |
E101287
|
entity |
| Predicate | rollingStock |
P1305
|
FINISHED |
| Object |
Sm6
Sm6 is a class of high-speed electric multiple unit trains used on the Allegro service between Finland and Russia.
|
E447407
|
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: Sm6 | Statement: [Allegro trains between Saint Petersburg and Helsinki, rollingStock, Sm6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sm6 Context triple: [Allegro trains between Saint Petersburg and Helsinki, rollingStock, Sm6]
-
A.
M6
The M6 is a major north–south motorway in the United Kingdom that runs through the Midlands and North West England, forming a key part of the country’s strategic road network.
-
B.
The 6s
The 6s is a subgroup within the Brooklyn-based hip hop collective Junior M.A.F.I.A., associated with the mid-1990s East Coast rap scene.
-
C.
SA6
SA6 is a 3GPP working group responsible for standardizing mission-critical and application-layer services in mobile communication systems.
-
D.
.sm
.sm is the country code top-level domain (ccTLD) assigned to the Republic of San Marino for use on the internet.
-
E.
SMR
SMR is the three-letter ISO 3166-1 alpha-3 country code assigned to San Marino.
- 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: Sm6 Triple: [Allegro trains between Saint Petersburg and Helsinki, rollingStock, Sm6]
Generated description
Sm6 is a class of high-speed electric multiple unit trains used on the Allegro service between Finland and Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sm6 Target entity description: Sm6 is a class of high-speed electric multiple unit trains used on the Allegro service between Finland and Russia.
-
A.
M6
The M6 is a major north–south motorway in the United Kingdom that runs through the Midlands and North West England, forming a key part of the country’s strategic road network.
-
B.
The 6s
The 6s is a subgroup within the Brooklyn-based hip hop collective Junior M.A.F.I.A., associated with the mid-1990s East Coast rap scene.
-
C.
SA6
SA6 is a 3GPP working group responsible for standardizing mission-critical and application-layer services in mobile communication systems.
-
D.
.sm
.sm is the country code top-level domain (ccTLD) assigned to the Republic of San Marino for use on the internet.
-
E.
SMR
SMR is the three-letter ISO 3166-1 alpha-3 country code assigned to San Marino.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56fca7d4819081deb34628e04f00 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f958de0819082d17c165d25e703 |
completed | March 20, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69bd71b00a2481909309765b6cc2e73d |
completed | March 20, 2026, 4:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd727abda08190bdc1d6ea015f3e46 |
completed | March 20, 2026, 4:14 p.m. |
Created at: March 20, 2026, 1:01 p.m.