Triple
T21833971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baía do Sancho |
E539070
|
entity |
| Predicate | frequentlyListedAs |
P21265
|
FINISHED |
| Object | one of the most beautiful beaches in the world |
—
|
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: one of the most beautiful beaches in the world | Statement: [Baía do Sancho, frequentlyListedAs, one of the most beautiful beaches in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequentlyListedAs Context triple: [Baía do Sancho, frequentlyListedAs, one of the most beautiful beaches in the world]
-
A.
isFrequentlyIncludedIn
Indicates that something is regularly or commonly contained or made part of something else.
-
B.
listedWith
Indicates that an entity is included as an item or entry within a particular list, catalog, or collection.
-
C.
frequentlyRecordedBy
Indicates that an entity is often documented, captured, or logged by a particular agent, system, or recording process.
-
D.
frequentlyDiscussedIn
Indicates that a topic, subject, or entity is often the focus of conversation, debate, or mention within a particular context or medium.
-
E.
isFrequentlyDescribedAs
chosen
Indicates that something is often characterized or referred to using a particular description or set of attributes.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a5eeb88190b58b5b6d363cd6e3 |
completed | April 28, 2026, 12:27 p.m. |
| PD | Predicate disambiguation | batch_69e6be8c14748190bdcc44a14d50bea4 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:55 p.m.