Triple
T36221867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R211 series |
E1047867
|
entity |
| Predicate | hasInteriorInformationSystem |
P17090
|
FINISHED |
| Object | dynamic passenger information displays |
—
|
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: dynamic passenger information displays | Statement: [R211 series, hasInteriorInformationSystem, dynamic passenger information displays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInteriorInformationSystem Context triple: [R211 series, hasInteriorInformationSystem, dynamic passenger information displays]
-
A.
hasPassengerInformationSystem
chosen
Indicates that an entity is equipped with a system that provides information to passengers, such as schedules, announcements, or travel updates.
-
B.
hasInteriorFeature
Indicates that an entity contains or includes a specific feature within its interior space.
-
C.
hasInteriorColor
Indicates that an entity possesses a specific color used on its interior surfaces or internal parts.
-
D.
hasIntruderDetectionSystem
Indicates that an entity is equipped with a system designed to detect unauthorized or intruding entities.
-
E.
interiorInformationSystems
Indicates that one information system is located within, or functions as a component or subsystem of, another information system.
- 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_69f76e42c878819095c8d19c0267fb87 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a00ab25c5b48190ad07ff508392ef56 |
completed | May 10, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_6a00a8a5cfc48190bbe97fb2bbd1b947 |
completed | May 10, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:09 p.m.