Triple
T11424839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canada Line |
E270719
|
entity |
| Predicate | rollingStock |
P1305
|
FINISHED |
| Object | Hyundai Rotem EMU trains |
E246227
|
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: Hyundai Rotem EMU trains | Statement: [Canada Line, rollingStock, Hyundai Rotem EMU trains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hyundai Rotem EMU trains Context triple: [Canada Line, rollingStock, Hyundai Rotem EMU trains]
-
A.
Comeng EMU
The Comeng EMU is a long-serving class of electric multiple unit trains used on Melbourne's suburban rail network.
-
B.
Civia EMU
Civia EMU is a class of electric multiple unit commuter trains used by Spain’s Renfe for suburban and regional passenger services.
-
C.
Hyundai Rotem low-floor tram
chosen
The Hyundai Rotem low-floor tram is a modern, accessible light-rail vehicle designed for urban public transport, featuring a low-floor design for easy boarding and efficient passenger flow.
-
D.
NM-02 trains
NM-02 trains are a model of electric multiple-unit metro cars used on Mexico City Metro’s Line 3, designed for high-capacity urban passenger service.
-
E.
MP-68 trains
MP-68 trains are a class of rubber-tyred metro rolling stock that have operated on Mexico City’s Metro system since the late 1960s.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806be9c2c819084da13101cbb6c81 |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b8b553808190bf8b40d9b03e12b7 |
completed | April 20, 2026, 5:25 a.m. |
Created at: April 8, 2026, 9:35 p.m.