Triple
T11454681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Atlantic trade routes |
E271495
|
entity |
| Predicate | hasMajorPortRegion |
P32975
|
FINISHED |
| Object | Brazilian coast |
—
|
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: Brazilian coast | Statement: [South Atlantic trade routes, hasMajorPortRegion, Brazilian coast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorPortRegion Context triple: [South Atlantic trade routes, hasMajorPortRegion, Brazilian coast]
-
A.
hasMajorPort
Indicates that a location possesses a primary, significant seaport used for major commercial or transportation activities.
-
B.
isMajorRegionFor
chosen
Indicates that a region serves as a primary or significant area associated with a particular entity, activity, or phenomenon.
-
C.
hasMajorEconomicRegion
Indicates that an entity includes, is associated with, or is part of a primary or significant economic region within a larger economic or geographic context.
-
D.
isMajorRegionalCenter
Indicates that a location functions as a primary hub of economic, administrative, or cultural activity within a specific geographic region.
-
E.
hasMajorLocation
Indicates that an entity is primarily situated in, based in, or most significantly associated with a particular location.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f2138081909408c7916cef99c9 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.