Triple
T16894642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Around the World in 80 Days with Michael Palin |
E424265
|
entity |
| Predicate | featuresModeOfTransport |
P1379
|
FINISHED |
| Object | ship |
—
|
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: ship | Statement: [Around the World in 80 Days with Michael Palin, featuresModeOfTransport, ship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresModeOfTransport Context triple: [Around the World in 80 Days with Michael Palin, featuresModeOfTransport, ship]
-
A.
transportType
chosen
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
-
B.
transportPattern
Indicates a recurring or characteristic way in which transportation is carried out between entities, such as typical routes, modes, or schedules.
-
C.
transportationFunction
Indicates that one entity serves to move or carry another entity from one place to another.
-
D.
showsTransportation
Indicates that one entity presents or depicts a means or mode of transportation associated with another entity.
-
E.
transports
Indicates that one entity carries or conveys another entity from one place to another.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8d6bfc88190b6b47b89c1135871 |
completed | April 18, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.