Triple
T35995981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KRL |
E1040987
|
entity |
| Predicate | appliesToAirportRailLink |
P127176
|
FINISHED |
| Object | Kraków John Paul II International Airport rail connection |
—
|
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: Kraków John Paul II International Airport rail connection | Statement: [KRL, appliesToAirportRailLink, Kraków John Paul II International Airport rail connection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToAirportRailLink Context triple: [KRL, appliesToAirportRailLink, Kraków John Paul II International Airport rail connection]
-
A.
isAirportRailLink
chosen
Indicates that a rail service or line provides a direct transportation connection to an airport.
-
B.
appliesToAirport
Indicates that something is relevant, valid, or specifically intended for use at a particular airport.
-
C.
appliesToRailwayNetwork
Indicates that something is relevant or specifically applicable to a railway network as a whole.
-
D.
appliesToTransitSystem
Indicates that something (such as a rule, policy, feature, or condition) is relevant or applicable to a particular transit or transportation system.
-
E.
appliesToTransitStation
Indicates that something (such as a rule, feature, condition, or attribute) is specifically relevant or applicable to a transit station.
- 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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff59b33a38819086cc9aa19b81748b |
completed | May 9, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69ff587758f88190a39c2164341dc554 |
completed | May 9, 2026, 3:53 p.m. |
Created at: May 3, 2026, 4:07 p.m.