Triple
T13192163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Hanson |
E314018
|
entity |
| Predicate | modeOfTravelWithCompanions |
P108973
|
FINISHED |
| Object | motorcycle journey |
—
|
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: motorcycle journey | Statement: [George Hanson, modeOfTravelWithCompanions, motorcycle journey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfTravelWithCompanions Context triple: [George Hanson, modeOfTravelWithCompanions, motorcycle journey]
-
A.
ridesWith
Indicates that one entity is traveling together in the same vehicle or conveyance as another entity.
-
B.
transportationModeShare
Indicates the proportion of total travel or trips that is carried out using a particular mode of transportation (e.g., car, bus, bike, walking) within a given context.
-
C.
traveledAs
Indicates that an entity moved from one place to another in the role, capacity, or identity specified by another entity (e.g., as a tourist, as a representative, as a refugee).
-
D.
involvedTravelBetween
Indicates a relationship where an entity participates in or is associated with travel occurring between two specified locations.
-
E.
passesUsedForTransportation
Indicates that the passes are utilized as a means or instrument for transporting people or goods.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98ceeb22c8190a6be666031d9e5a4 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 9, 2026, 9:15 p.m.