Triple
T7721121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lilydale line |
E175012
|
entity |
| Predicate | rollingStock |
P1305
|
FINISHED |
| Object | X’Trapolis 100 trains |
E605705
|
NE FINISHED |
How this triple was built (2 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: X’Trapolis 100 trains | Statement: [Lilydale line, rollingStock, X’Trapolis 100 trains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: X’Trapolis 100 trains Context triple: [Lilydale line, rollingStock, X’Trapolis 100 trains]
-
A.
MX3000 train
The MX3000 train is a modern electric multiple unit used as the primary passenger rolling stock on the Oslo Metro system in Norway.
-
B.
MARC Train
MARC Train is a commuter rail service operating in Maryland and the surrounding region, connecting cities such as Washington, D.C., Baltimore, and Martinsburg.
-
C.
X'Trapolis EMU
chosen
The X'Trapolis EMU is a modern electric multiple unit train used for suburban passenger services on Melbourne’s metropolitan rail network.
-
D.
XPT train
The XPT train is a long-distance, high-speed diesel passenger train used in New South Wales, Australia, based on the British InterCity 125 design.
-
E.
Voyager trains
Voyager trains are a family of high-speed diesel-electric multiple unit passenger trains widely used on intercity services in the UK rail network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702f0366c8190a78f0b03f090fc2c |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b517c64881908d24e8613dc33bf4 |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 4:05 p.m.