Triple
T18104472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mendaña’s Pacific expeditions |
E433312
|
entity |
| Predicate | numberOfMajorVoyages |
P46091
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Mendaña’s Pacific expeditions, numberOfMajorVoyages, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMajorVoyages Context triple: [Mendaña’s Pacific expeditions, numberOfMajorVoyages, 2]
-
A.
numberOfVoyagesToAmericas
Indicates the count of distinct voyages an entity has made to the Americas.
-
B.
famousVoyage
Indicates that a voyage is widely recognized or celebrated for its historical, cultural, or exploratory significance.
-
C.
numberOfExpeditions
chosen
Indicates the total count of expeditions associated with a given entity or context.
-
D.
seaVoyages
Indicates that one entity undertakes or is associated with journeys or travel by sea to or involving another entity.
-
E.
purposeOfVoyages
Indicates the intended goals, reasons, or objectives motivating or justifying specific voyages.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb8dd308190a9c98ac2b1d8b872 |
completed | April 19, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:28 a.m.