Triple
T18862975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Matthew (replica ship) |
E461360
|
entity |
| Predicate | voyageRecreated |
P133220
|
FINISHED |
| Object | John Cabot’s 1497 voyage to North America |
—
|
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: John Cabot’s 1497 voyage to North America | Statement: [The Matthew (replica ship), voyageRecreated, John Cabot’s 1497 voyage to North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voyageRecreated Context triple: [The Matthew (replica ship), voyageRecreated, John Cabot’s 1497 voyage to North America]
-
A.
voyageOn
Indicates that an entity is traveling or being transported aboard a particular vessel or means of sea (or space) travel.
-
B.
voyageWith
Indicates that two or more entities travel together on the same journey or trip, sharing a common route or voyage.
-
C.
subsequentVoyage
Indicates that one voyage occurs after and in sequence to another voyage in time.
-
D.
inspiredVoyage
Indicates that one entity’s ideas, actions, or example motivated another entity to undertake a particular journey or expedition.
-
E.
organizedVoyage
Indicates that one entity planned, arranged, or coordinated the details of a journey or trip undertaken by another entity.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2a304d4819092f14b7932d01afe |
completed | April 20, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69e48d2166b88190add38de96cedc65c |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:57 a.m.