Triple
T6773878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico City Metro Line B |
E155106
|
entity |
| Predicate | rollingStock |
P1305
|
FINISHED |
| Object | MP-68 trains |
E443824
|
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: MP-68 trains | Statement: [Mexico City Metro Line B, rollingStock, MP-68 trains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MP-68 trains Context triple: [Mexico City Metro Line B, rollingStock, MP-68 trains]
-
A.
MP-68 trains
chosen
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.
M100 series trains
The M100 series trains are the original electric multiple units that have operated on the Helsinki Metro since its opening, known for their robust design and long service life.
-
C.
M200 series trains
The M200 series trains are a fleet of modern electric multiple units operating on the Helsinki Metro system in Finland.
-
D.
M300 series trains
The M300 series trains are a modern fleet of metro trains operating on the Helsinki Metro, designed to provide efficient, high-capacity urban rail transport.
-
E.
MF 67 trains
MF 67 trains are a long-serving class of steel-wheeled electric multiple units used extensively across the Paris Métro 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d24c1b088190b99e9264b9b03dd8 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712ca48d88190b9f47b23264d4264 |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:13 p.m.