Triple
T38173160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baía de Todos os Santos |
E1000133
|
entity |
| Predicate | isOneOfLargestBaysIn |
P190578
|
FINISHED |
| Object | South America |
—
|
NE NERFINISHED |
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: South America | Statement: [Baía de Todos os Santos, isOneOfLargestBaysIn, South America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfLargestBaysIn Context triple: [Baía de Todos os Santos, isOneOfLargestBaysIn, South America]
-
A.
isLargestBayIn
Indicates that one bay is the largest, by area or volume, among all bays located within a specified geographic region.
-
B.
locatedInBayOf
Indicates that something is situated within or directly on a specific bay.
-
C.
bayOf
Indicates that one location is a bay that forms an inlet or coastal indentation associated with another geographic entity, such as a sea, ocean, or coastline.
-
D.
isMajorUrbanBayFor
Indicates that one location is a primary, densely developed urban bay area associated with another geographic or administrative entity.
-
E.
isLargestSeaportIn
Indicates that one location is the largest seaport within a specified geographic or political region.
- 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_69f76daaace48190a38cee37f8ce343f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fccbd6b7688190b746803cf78d5704 |
completed | May 7, 2026, 5:28 p.m. |
Created at: May 3, 2026, 4:29 p.m.