Triple
T3381350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VBB |
E71189
|
entity |
| Predicate | providesJourneyPlanner |
P33699
|
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: [VBB, providesJourneyPlanner, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesJourneyPlanner Context triple: [VBB, providesJourneyPlanner, true]
-
A.
usedForJourneyPlanning
Indicates that something is utilized to assist in planning or organizing a journey or trip.
-
B.
canProvideDirections
chosen
Indicates that one entity is able to give another entity guidance or instructions on how to reach a particular location or navigate a route.
-
C.
isUsedInTransportTimetables
Indicates that something is employed or referenced within transport timetables or schedules.
-
D.
isPublicTransportRoute
Indicates that a given route is designated and operated as part of a public transportation system available for general use.
-
E.
commutesBetween
Indicates a regular pattern of travel back and forth between two locations, typically for work, study, or routine activities.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5e9af608190bfb228ef99a87bb7 |
completed | March 8, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69ada434bae48190a77ea37f9274ad8f |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:14 p.m.