Triple
T32529356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Miranda |
E831403
|
entity |
| Predicate | localizadoNoEstado |
P96807
|
FINISHED |
| Object | Mato Grosso do Sul |
—
|
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: Mato Grosso do Sul | Statement: [Rio Miranda, localizadoNoEstado, Mato Grosso do Sul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localizadoNoEstado Context triple: [Rio Miranda, localizadoNoEstado, Mato Grosso do Sul]
-
A.
locatedInStateOrRegion
chosen
Indicates that one entity is geographically situated within the boundaries of a specified state or region.
-
B.
nearByCityState
Indicates that a city is geographically close to or within the same general area as a specified state.
-
C.
stationedInProvince
Indicates that an entity is assigned or based in a particular province as its location or area of operation.
-
D.
provinceOf
Indicates that one administrative region functions as a province belonging to or governed by a larger territorial or political entity.
-
E.
isInProvince
Indicates that one entity (typically a place or city) is located within the administrative boundaries of a specified province.
- 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_69f34923e1548190be0524205d8cdf8f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:01 a.m.