Triple
T20314468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intercity double-deck coaches |
E510342
|
entity |
| Predicate | designedToIncrease |
P93862
|
FINISHED |
| Object | seating capacity per train |
—
|
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 capacity per train | Statement: [Intercity double-deck coaches, designedToIncrease, seating capacity per train]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedToIncrease Context triple: [Intercity double-deck coaches, designedToIncrease, seating capacity per train]
-
A.
designedToSupplement
chosen
Indicates that one entity is created or intended to enhance, complete, or add to the function, content, or effect of another entity.
-
B.
increasesProductionOf
Indicates that one entity causes a rise or enhancement in the amount or rate at which another entity is produced.
-
C.
increases
Indicates that one entity causes another entity’s value, level, or intensity to become larger or higher.
-
D.
designedToEvoke
Indicates that something was intentionally created or arranged in order to elicit a particular reaction, feeling, or response from an audience or observer.
-
E.
increasesWith
Indicates that as the value or magnitude of one entity grows, the value or magnitude of another entity correspondingly grows as well.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67745e2448190b5611382fe338bb2 |
completed | April 20, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69e55b21b09081909e46691b6f45a07f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:19 a.m.