Triple
T430436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bartolomeu Dias |
E9698
|
entity |
| Predicate | diedDuring |
P11793
|
FINISHED |
| Object | voyage with Pedro Álvares Cabral |
—
|
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: voyage with Pedro Álvares Cabral | Statement: [Bartolomeu Dias, diedDuring, voyage with Pedro Álvares Cabral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diedDuring Context triple: [Bartolomeu Dias, diedDuring, voyage with Pedro Álvares Cabral]
-
A.
diedWhile
chosen
Indicates that one entity ceased to live during the occurrence or performance of another specified event or activity.
-
B.
killedDuring
Indicates that one entity caused the death of another entity in the course of, or as part of, a specified event or time period.
-
C.
dateOfDeath
Indicates the specific date on which an individual or entity died.
-
D.
death
Indicates the event or state in which an entity ceases to live or exist, marking the end of its biological or functional processes.
-
E.
placeOfDeath
Indicates the location where an entity (typically a person or animal) died.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eeef065c81908ed30528a61da132 |
completed | Feb. 28, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69a2edd9264c8190b92f9a50348e5541 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.