Triple
T1825032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aeroexpress train |
E40632
|
entity |
| Predicate | hasLuggageSpace |
P13871
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Aeroexpress train, hasLuggageSpace, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLuggageSpace Context triple: [Aeroexpress train, hasLuggageSpace, yes]
-
A.
hasBaggageClaim
Indicates that a location, typically a transportation hub, includes or provides a baggage claim area for retrieving luggage.
-
B.
hasBaggageSystem
Indicates that an entity is equipped with or utilizes a baggage handling system.
-
C.
hasBaggageService
Indicates that an entity provides or supports services related to handling, storing, or managing baggage for others.
-
D.
hasPassengerArea
Indicates that an object or vehicle includes a designated area intended for carrying passengers.
-
E.
cargoSpace
chosen
Indicates that one entity provides storage capacity or room for carrying goods, equipment, or other items for 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb45402688190b9a535b14030c354 |
completed | March 7, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69abafd6a9948190ac2b2743db6f8f69 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:32 p.m.