Triple
T37778272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Município de Santa Maria de Jetibá |
E941749
|
entity |
| Predicate | localizadoNoPaís |
P126786
|
FINISHED |
| Object | Brasil |
—
|
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: Brasil | Statement: [Município de Santa Maria de Jetibá, localizadoNoPaís, Brasil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localizadoNoPaís Context triple: [Município de Santa Maria de Jetibá, localizadoNoPaís, Brasil]
-
A.
locatedNearCountry
Indicates that one entity is geographically situated close to the borders or territory of a specified country.
-
B.
countryLocated
Indicates that a country is geographically situated within or associated with a specific larger region, territory, or political entity.
-
C.
meetsInCountry
Indicates that two or more entities have an in-person meeting that takes place within the specified country.
-
D.
locatedInCurrentCountry
Indicates that an entity is situated within the geographic boundaries of the country in which it is presently found.
-
E.
находитсяВСтране
chosen
Indicates that something is located within the territory or borders of a specific country.
- 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_69f76ee4431881908f87e8892a9f39f3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:19 p.m.