Triple
T9158240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | fourth voyage of Christopher Columbus |
E219757
|
entity |
| Predicate | chronologicalOrderInColumbusVoyages |
P23880
|
FINISHED |
| Object | fourth |
—
|
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: fourth | Statement: [fourth voyage of Christopher Columbus, chronologicalOrderInColumbusVoyages, fourth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalOrderInColumbusVoyages Context triple: [fourth voyage of Christopher Columbus, chronologicalOrderInColumbusVoyages, fourth]
-
A.
chronologicallyCovers
Indicates that one time period, event, or sequence extends over and includes the entire chronological span of another.
-
B.
numberOfVoyagesToAmericas
Indicates the count of distinct voyages an entity has made to the Americas.
-
C.
sponsorshipYearColumbusFirstVoyage
Indicates the year in which sponsorship was provided for Columbus’s first voyage.
-
D.
firstCircumnavigation
Indicates that the subject is responsible for completing the first full circumnavigation of the Earth (or another specified body or area).
-
E.
chronologicalOrderInSeries
chosen
Indicates that one entity appears earlier or later than another within an ordered sequence or series.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca9d6b9ac819094efe12c1ed67ecf |
completed | April 1, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69cc6605c6808190a30d92da006206ac |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:21 p.m.