Triple
T6863778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alamein line |
E158344
|
entity |
| Predicate | rollingStock |
P1305
|
FINISHED |
| Object | Comeng trains |
E606704
|
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: Comeng trains | Statement: [Alamein line, rollingStock, Comeng trains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comeng trains Context triple: [Alamein line, rollingStock, Comeng trains]
-
A.
Comeng EMU
chosen
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.
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.
-
D.
Alstom multiple units
Alstom multiple units are self-propelled passenger train sets manufactured by Alstom for use in various urban and regional rail systems worldwide.
-
E.
Vossloh Citylink tram-train vehicles
Vossloh Citylink tram-train vehicles are modern, dual-mode light rail units designed to operate seamlessly on both urban tram networks and mainline railway tracks.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8897cf48190a2f688d21f1f6c1a |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7617847908190abacde0f816b4372 |
completed | March 28, 2026, 5:04 a.m. |
Created at: March 27, 2026, 2:21 p.m.