Triple
T2440239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siemens S700 |
E53255
|
entity |
| Predicate | usedInTransportMode |
P34193
|
FINISHED |
| Object | light rail |
—
|
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: light rail | Statement: [Siemens S700, usedInTransportMode, light rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInTransportMode Context triple: [Siemens S700, usedInTransportMode, light rail]
-
A.
passesUsedForTransportation
Indicates that the passes are utilized as a means or instrument for transporting people or goods.
-
B.
isUsedInTransportTimetables
Indicates that something is employed or referenced within transport timetables or schedules.
-
C.
usesTransport
Indicates that an entity employs or relies on a particular mode or means of transportation to move from one place to another.
-
D.
hasPublicTransportUsage
Indicates that an entity makes use of, or is associated with the use of, public transportation services.
-
E.
isPublicTransport
chosen
Indicates that the entity functions as a mode or instance of transportation that is available for use by the general public, typically operating on fixed routes or schedules.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcebf7cac8190889e6890d72c256c |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5ac11b081908ce6a506e81a742a |
completed | March 7, 2026, 6:29 a.m. |
Created at: March 6, 2026, 9:43 p.m.