Triple
T31481615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velho Chico |
E803159
|
entity |
| Predicate | mainSettingCountry |
P157605
|
FINISHED |
| Object | Brazil |
—
|
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: Brazil | Statement: [Velho Chico, mainSettingCountry, Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSettingCountry Context triple: [Velho Chico, mainSettingCountry, Brazil]
-
A.
settingCountries
chosen
Indicates that a work, event, or narrative is set in or takes place within the specified countries.
-
B.
selectionCountry
Indicates that one entity is chosen or designated as the country associated with a particular selection or choice.
-
C.
useCountry
Indicates that one entity utilizes or operates within the jurisdiction, systems, or context of a specified country.
-
D.
convertedCountry
Indicates that one country has changed its official or primary religion to another religion or religious affiliation.
-
E.
adminCountry
Indicates that one entity serves as the administrative or governing country for another entity.
- 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_69f348c9477c8190bc0a21f6d482d2fc |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 30, 2026, 9:32 p.m.