Triple
T25715422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London–Tokyo |
E644848
|
entity |
| Predicate | isPassengerRoute |
P59862
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [London–Tokyo, isPassengerRoute, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPassengerRoute Context triple: [London–Tokyo, isPassengerRoute, true]
-
A.
isInPassengerService
Indicates that an entity (such as a vehicle, vessel, or aircraft) is currently being used to carry passengers as part of regular service.
-
B.
isPassengerStop
Indicates that a location serves as a designated place where passengers may board or alight from a vehicle or transport service.
-
C.
hasPassengerRole
Indicates that an entity participates in a context or event specifically in the capacity or role of a passenger.
-
D.
isOnPassengerNetwork
chosen
Indicates that an entity is part of, connected to, or operates within a passenger transportation network.
-
E.
isPassengerStationCode
Indicates that a given code is officially assigned to identify a particular passenger 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc6211788190bb46c645902c2bc2 |
completed | May 2, 2026, 1:30 p.m. |
| PD | Predicate disambiguation | batch_69f480824a1c81908a8a492eedbc2596 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 9:40 p.m.