Triple
T10730040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siemens modular metro trains |
E253046
|
entity |
| Predicate | customizationOption |
P43516
|
FINISHED |
| Object | seating arrangement |
—
|
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: seating arrangement | Statement: [Siemens modular metro trains, customizationOption, seating arrangement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: customizationOption Context triple: [Siemens modular metro trains, customizationOption, seating arrangement]
-
A.
equipmentOption
Indicates that a particular piece or configuration of equipment is available or selected as an option in a given context.
-
B.
customizableBy
Indicates that one entity can be modified, configured, or tailored in some way by another entity.
-
C.
hasDesignOption
chosen
Indicates that an entity is associated with or offers a particular design alternative or configurable design choice.
-
D.
upholsteryOption
Indicates the type or choice of upholstery applied to an item, such as a piece of furniture or vehicle interior.
-
E.
upgradeOption
Indicates that one entity serves as a possible improved or higher-level alternative to another entity.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fca498881909b40163a138cfb98 |
completed | April 9, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.