Triple
T23553872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interregio-Express |
E578125
|
entity |
| Predicate | serviceLevelComparedToRB |
P152773
|
FINISHED |
| Object | faster than Regionalbahn |
—
|
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: faster than Regionalbahn | Statement: [Interregio-Express, serviceLevelComparedToRB, faster than Regionalbahn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceLevelComparedToRB Context triple: [Interregio-Express, serviceLevelComparedToRB, faster than Regionalbahn]
-
A.
serviceLevelComparedToRegional
Indicates how the service level of one entity compares to the typical or average service level within its surrounding region.
-
B.
serviceLevel
Indicates the degree or quality of service provided or received in the relationship between entities.
-
C.
serviceLevelComparedToEconomy
Indicates how the level or quality of service compares relative to an economy (baseline) service level.
-
D.
serviceLevelComparedToPremiumCabins
Indicates how the quality or level of service in a given cabin compares to that provided in premium cabins.
-
E.
comparisonLevel
Indicates the degree or intensity to which two or more entities are being compared within a given context.
- F. None of above. chosen
Provenance (4 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aed17fc881908b45dcde14790d42 |
completed | April 29, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:11 p.m.