Triple
T4481838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 2 (Mexico City Metro) |
E100151
|
entity |
| Predicate | usesRollingStock |
P5426
|
FINISHED |
| Object | NM-73 trains |
E443825
|
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: NM-73 trains | Statement: [Line 2 (Mexico City Metro), usesRollingStock, NM-73 trains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NM-73 trains Context triple: [Line 2 (Mexico City Metro), usesRollingStock, NM-73 trains]
-
A.
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.
-
B.
Mark VII trains
Mark VII trains are the modern generation of streamlined, retro-futuristic monorail vehicles that serve as the primary passenger trains on the Disneyland Monorail System.
-
C.
NE-92 trains
chosen
NE-92 trains are a type of electric multiple-unit rolling stock used on Mexico City Metro’s Line 2, known for their high-capacity urban passenger service.
-
D.
MF 67 trains
MF 67 trains are a long-serving class of steel-wheeled electric multiple units used extensively across the Paris Métro network.
-
E.
Rail Star 700 series
The Rail Star 700 series is a variant of Japan’s 700 Series Shinkansen train designed for high-speed, comfortable limited-stop services in western Japan.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356dddd488190bd5dedd3c0e77247 |
completed | March 13, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b65140f9a08190856442534ff46e37 |
completed | March 15, 2026, 6:27 a.m. |
Created at: March 12, 2026, 11:36 p.m.