Triple
T11962897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Pablo–Los Dominicos |
E284713
|
entity |
| Predicate | usesRollingStock |
P5426
|
FINISHED |
| Object | NS-2004 trains |
E60317
|
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: NS-2004 trains | Statement: [San Pablo–Los Dominicos, usesRollingStock, NS-2004 trains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NS-2004 trains Context triple: [San Pablo–Los Dominicos, usesRollingStock, NS-2004 trains]
-
A.
NS 2004 series
chosen
The NS 2004 series is a type of electric multiple-unit rolling stock used on the Santiago Metro system in Chile.
-
B.
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.
-
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.
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.
-
E.
TMB 3000/4000 family of trains
The TMB 3000/4000 family of trains is a series of electric multiple units used on the Barcelona Metro, known for modernizing and expanding the network’s rolling stock.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037848f481908276716675464464 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4594054f08190b28b35f62dfb9198 |
completed | May 1, 2026, 7:41 a.m. |
Created at: April 8, 2026, 9:45 p.m.