Triple
T9616427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Carioca |
E232229
|
entity |
| Predicate | publicationRegion |
P67921
|
FINISHED |
| Object | Brazilian Disney comics |
—
|
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: Brazilian Disney comics | Statement: [José Carioca, publicationRegion, Brazilian Disney comics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationRegion Context triple: [José Carioca, publicationRegion, Brazilian Disney comics]
-
A.
recipientRegion
Indicates the geographic region that receives or is the destination of a transfer, delivery, or directed action.
-
B.
continentOfPublication
Indicates the continent on which the publication was produced or released.
-
C.
publishedInTerritory
chosen
Indicates that something (such as a work, product, or edition) has been published within a specific geographic or legal territory.
-
D.
placeRegion
Indicates that a place is located within, or is part of, a larger geographic or administrative region.
-
E.
countryRegion
Indicates that a country is located within, or belongs to, a specific geographic or administrative region.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aad71a0819084ea00c2409e9922 |
completed | April 1, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69ccd5aa1d2c8190a287bf1cf4a3037e |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:09 p.m.