Triple
T24161935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainha da Borborema |
E598862
|
entity |
| Predicate | tipoDePolo |
P154826
|
FINISHED |
| Object | polo tecnológico regional |
—
|
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: polo tecnológico regional | Statement: [Rainha da Borborema, tipoDePolo, polo tecnológico regional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tipoDePolo Context triple: [Rainha da Borborema, tipoDePolo, polo tecnológico regional]
-
A.
poloStyle
Indicates a stylistic relationship where one entity is characterized by or associated with a particular style of polo.
-
B.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
C.
coatCharacteristic
Indicates that one entity has a particular property, feature, or quality that characterizes its outer covering or surface.
-
D.
suitType
Indicates the specific category or style of suit associated with an entity (e.g., business suit, spacesuit, wetsuit).
-
E.
typeOfTie
Indicates the specific kind or category of relationship or connection that exists between two entities.
- 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.