Triple
T24161929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainha da Borborema |
E598862
|
entity |
| Predicate | localizadaNoAgresteDe |
P154825
|
FINISHED |
| Object | Paraíba |
—
|
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: Paraíba | Statement: [Rainha da Borborema, localizadaNoAgresteDe, Paraíba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localizadaNoAgresteDe Context triple: [Rainha da Borborema, localizadaNoAgresteDe, Paraíba]
-
A.
locatedInSouthwesternPartOf
Indicates that one entity is situated within the southwestern portion or region of another entity.
-
B.
locatedSouthWestOf
Indicates that one entity is positioned to the southwest of another entity, combining both a southern and western relative location.
-
C.
isLocatedOnOutskirtsOf
Indicates that one entity is situated on the outer edge or peripheral area of another entity, rather than in its central or inner part.
-
D.
locatedInAgriculturalRegion
Indicates that an entity is situated within a region primarily characterized by agricultural activities or land use.
-
E.
locatedInMountainRainShadowOf
Indicates that one location lies in the rain shadow of a mountain or mountain range, receiving reduced precipitation because the mountains block prevailing moisture-bearing winds.
- 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_69e288cb0a3081909ef221744f274384 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e0e9cd6c81908c33242f19fcc034 |
completed | April 29, 2026, 10:43 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 11:32 p.m.