Triple
T33768827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Göran Kropp |
E865315
|
entity |
| Predicate | usedTransportOnExpedition |
P180633
|
FINISHED |
| Object | bicycle and trailer |
—
|
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: bicycle and trailer | Statement: [Göran Kropp, usedTransportOnExpedition, bicycle and trailer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedTransportOnExpedition Context triple: [Göran Kropp, usedTransportOnExpedition, bicycle and trailer]
-
A.
usesTransport
Indicates that an entity employs or relies on a particular mode or means of transportation to move from one place to another.
-
B.
usedExpedition
Indicates that an entity employed or relied on a particular expedition (journey, mission, or exploratory campaign) to achieve some purpose or outcome.
-
C.
usedByExpedition
chosen
Indicates that something (such as an object, resource, or method) is utilized or employed by an expedition in the course of its activities.
-
D.
usesTransportNetwork
Indicates that an entity makes use of a transport network (such as roads, rail, or transit systems) to move people, goods, or services.
-
E.
typicalExpeditionMode
Indicates the usual or most common mode or method by which an expedition is conducted.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: May 1, 2026, 1:45 a.m.