Triple
T32939473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Niña (ship) |
E842626
|
entity |
| Predicate | laterVoyagesWithColumbus |
P200976
|
FINISHED |
| Object | second voyage of Christopher Columbus |
—
|
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: second voyage of Christopher Columbus | Statement: [La Niña (ship), laterVoyagesWithColumbus, second voyage of Christopher Columbus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterVoyagesWithColumbus Context triple: [La Niña (ship), laterVoyagesWithColumbus, second voyage of Christopher Columbus]
-
A.
returnedWithColumbus
Indicates that the subject accompanied Columbus on his voyage and came back together with him.
-
B.
voyageNumberInColumbusExpeditions
Indicates the specific numbered voyage associated with an expedition in the series of Columbus’s journeys.
-
C.
methodOfTransportForColumbus
Indicates the means or mode of transportation used by Columbus to travel.
-
D.
numberOfMajorVoyagesToTheEast
Indicates the count of significant voyages made by an entity to eastern regions or destinations.
-
E.
famousVoyage
Indicates that a voyage is widely recognized or celebrated for its historical, cultural, or exploratory significance.
- 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_69f34949727c81909d195c97de3341c8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ffbf84f4948190b41a7bba07ae61ec |
completed | May 9, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69ffbf0a59f88190870dbe25d8a63a00 |
completed | May 9, 2026, 11:11 p.m. |
| PDg | Predicate description generation | batch_69ffbf8402c48190a9bf3c3fcb874508 |
completed | May 9, 2026, 11:13 p.m. |
Created at: May 1, 2026, 1:20 a.m.