Triple
T17408187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BLS Schifffahrt |
E423274
|
entity |
| Predicate | offersOnboardService |
P29763
|
FINISHED |
| Object | catering |
—
|
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: catering | Statement: [BLS Schifffahrt, offersOnboardService, catering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersOnboardService Context triple: [BLS Schifffahrt, offersOnboardService, catering]
-
A.
offersServiceOn
Indicates that one entity provides or makes a service available on, during, or through another entity (such as a platform, date, or location).
-
B.
offersServiceTo
Indicates that one entity provides or makes a service available for the benefit or use of another entity.
-
C.
offersLimitedServiceOn
Indicates that one entity provides a restricted, partial, or reduced version of a service to another entity, rather than full or regular service.
-
D.
offersServiceIn
Indicates that a provider makes a particular service available within a specified location or jurisdiction.
-
E.
onBoardService
chosen
Indicates that a service is provided to or available for passengers while they are physically on board a vehicle, vessel, or aircraft.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b08d5a881909e7a5b2ae2c60898 |
completed | April 19, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.