Triple
T14546447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydney Trains M set (Millennium) trains |
E341303
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
M set
The M set, also known as the Millennium train, is a class of electric multiple unit passenger trains operated by Sydney Trains in the Sydney suburban rail network.
|
E1105254
|
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: M set | Statement: [Sydney Trains M set (Millennium) trains, alsoKnownAs, M set]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M set Context triple: [Sydney Trains M set (Millennium) trains, alsoKnownAs, M set]
-
A.
M-1
M-1 is a state trunkline highway in Michigan, best known as Woodward Avenue, a major historic thoroughfare running through the Detroit metropolitan area.
-
B.
M-1
M-1 is a major Pakistani motorway connecting Islamabad to Peshawar as part of the country’s national high-speed road network.
-
C.
M
M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
-
D.
M
M is an experimental musical composition by avant-garde American composer John Cage, reflecting his innovative approaches to sound and structure.
-
E.
M
M is a landmark 1931 German thriller film by Fritz Lang, renowned as an early and influential work in the serial killer and crime genre.
- 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: M set Triple: [Sydney Trains M set (Millennium) trains, alsoKnownAs, M set]
Generated description
The M set, also known as the Millennium train, is a class of electric multiple unit passenger trains operated by Sydney Trains in the Sydney suburban rail network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M set Target entity description: The M set, also known as the Millennium train, is a class of electric multiple unit passenger trains operated by Sydney Trains in the Sydney suburban rail network.
-
A.
M-1
M-1 is a state trunkline highway in Michigan, best known as Woodward Avenue, a major historic thoroughfare running through the Detroit metropolitan area.
-
B.
M-1
M-1 is a major Pakistani motorway connecting Islamabad to Peshawar as part of the country’s national high-speed road network.
-
C.
M
M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
-
D.
M
M is an experimental musical composition by avant-garde American composer John Cage, reflecting his innovative approaches to sound and structure.
-
E.
M
M is a landmark 1931 German thriller film by Fritz Lang, renowned as an early and influential work in the serial killer and crime genre.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ebdf9481909f4d2da1ad31099c |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a6344b08190a3c1124c6dd7da96 |
completed | May 8, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69fd7cede0548190a3712a773982300b |
completed | May 8, 2026, 6:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7e915db88190af076e979207a458 |
completed | May 8, 2026, 6:11 a.m. |
Created at: April 10, 2026, 1:22 a.m.