Triple
T1949804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | voyages of Christopher Columbus to the Americas |
E42132
|
entity |
| Predicate | numberOfVoyages |
P11517
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [voyages of Christopher Columbus to the Americas, numberOfVoyages, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfVoyages Context triple: [voyages of Christopher Columbus to the Americas, numberOfVoyages, 4]
-
A.
numberOfVoyagesToAmericas
chosen
Indicates the count of distinct voyages an entity has made to the Americas.
-
B.
purposeOfVoyages
Indicates the intended goals, reasons, or objectives motivating or justifying specific voyages.
-
C.
numberOfNaves
Indicates the specific count of naves (longitudinal sections) that a building, typically a church, possesses.
-
D.
voyageDuration
Indicates the length of time that a voyage or journey lasts from its start to its end.
-
E.
voyageType
Indicates the specific category or nature of a journey or trip that an entity undertakes.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb332b014819085bfc88d66cfc10a |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff3eda88190b643994cb4dfb8df |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.