Triple
T3492282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiaguinho |
E73760
|
entity |
| Predicate | diminutivePattern |
P5329
|
FINISHED |
| Object | baseName+inho in Brazilian Portuguese |
—
|
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: baseName+inho in Brazilian Portuguese | Statement: [Tiaguinho, diminutivePattern, baseName+inho in Brazilian Portuguese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diminutivePattern Context triple: [Tiaguinho, diminutivePattern, baseName+inho in Brazilian Portuguese]
-
A.
hasDiminutive
Indicates that one entity is a diminutive form or smaller/affectionate variant of another entity.
-
B.
nounFormOf
Indicates that one term is the noun form derived from, or corresponding to, another term (typically a verb or adjective).
-
C.
minorUnitName
Indicates the name assigned to a smaller or subordinate unit within a larger structured entity or system.
-
D.
notationPattern
chosen
Indicates a recurring way in which something is symbolically represented or written, such as a consistent style or structure of notation used for an entity or concept.
-
E.
patronymicSuffix
Indicates that one entity is a suffix added to a personal name to denote lineage or descent from another person, typically the father.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbabd1708190b1ca4cbc87462b5b |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0b34908190b2bb5766a2231f7a |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.