Triple
T3581158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedro Álvares Cabral |
E75800
|
entity |
| Predicate | landedOn |
P10620
|
FINISHED |
| Object | coast of present-day Brazil |
—
|
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: coast of present-day Brazil | Statement: [Pedro Álvares Cabral, landedOn, coast of present-day Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landedOn Context triple: [Pedro Álvares Cabral, landedOn, coast of present-day Brazil]
-
A.
landedOnBy
chosen
Indicates that one entity has come down to rest upon or make contact with the surface of another entity.
-
B.
landedNear
Indicates that one entity has come to rest on a surface or location in close proximity to another specified entity or reference point.
-
C.
madeLandfallOn
Indicates that a storm or similar weather system has come ashore and first reached land at a specific location or on a specific date.
-
D.
dateOfLanding
Indicates the specific calendar date on which a landing event took place.
-
E.
usesOnLand
Indicates that one entity employs or operates another entity specifically in a land-based context.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc101738c81908d38987f8fa291ef |
completed | March 8, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69adb83810c481909c645c08b978edc1 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.