Triple
T30952984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pato |
E788596
|
entity |
| Predicate | hasTrainsetConfiguration |
P26476
|
FINISHED |
| Object | power cars at both ends with articulated trailer coaches |
—
|
LITERAL 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: power cars at both ends with articulated trailer coaches | Statement: [Pato, hasTrainsetConfiguration, power cars at both ends with articulated trailer coaches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrainsetConfiguration Context triple: [Pato, hasTrainsetConfiguration, power cars at both ends with articulated trailer coaches]
-
A.
hasRailConfiguration
Indicates that an entity is associated with, or characterized by, a particular arrangement or setup of rails.
-
B.
trainConfiguration
chosen
Indicates the specific arrangement and composition of train elements (such as locomotives and cars) used together for a particular operation or service.
-
C.
hasLNGTrain
Indicates that something possesses or is equipped with an LNG (liquefied natural gas) processing or transport train as part of its facilities or infrastructure.
-
D.
hasTrainStyle
Indicates that one entity (typically a train or rail service) is characterized by or associated with a particular style, type, or configuration of train.
-
E.
numberOfTrainsetsBuilt
Indicates the total count of trainsets that have been constructed or produced.
- F. None of above.
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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69feabcda59481908f2bc13b46fcced1 |
completed | May 9, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69feaabd63f88190b30dcf6dd2ea39d1 |
completed | May 9, 2026, 3:32 a.m. |
Created at: April 29, 2026, 8:53 p.m.