Triple
T11647273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City Airport Train |
E276807
|
entity |
| Predicate | offersLuggageService |
P30409
|
FINISHED |
| Object | airport-style baggage check-in at Wien Mitte |
—
|
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: airport-style baggage check-in at Wien Mitte | Statement: [City Airport Train, offersLuggageService, airport-style baggage check-in at Wien Mitte]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersLuggageService Context triple: [City Airport Train, offersLuggageService, airport-style baggage check-in at Wien Mitte]
-
A.
hasBaggageService
chosen
Indicates that an entity provides or supports services related to handling, storing, or managing baggage for others.
-
B.
providesExtraBaggage
Indicates that one entity offers or supplies additional baggage capacity or allowance to another entity.
-
C.
hasCheckedBaggage
Indicates that an entity is associated with baggage that has been checked in for transport, typically for a trip or flight.
-
D.
hasBaggageClaim
Indicates that a location, typically a transportation hub, includes or provides a baggage claim area for retrieving luggage.
-
E.
hasCargoServices
Indicates that an entity provides or is equipped to handle cargo transportation or freight services for another entity or location.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cd9bb0819093d107204bed2fe0 |
completed | April 10, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.