Triple
T5301872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regency period in Brazil |
E120000
|
entity |
| Predicate | reasonForRegency |
P63920
|
FINISHED |
| Object | minority of Pedro II of Brazil |
—
|
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: minority of Pedro II of Brazil | Statement: [Regency period in Brazil, reasonForRegency, minority of Pedro II of Brazil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForRegency Context triple: [Regency period in Brazil, reasonForRegency, minority of Pedro II of Brazil]
-
A.
designationReason
Indicates the reason or justification for assigning a particular designation or status to an entity.
-
B.
reasonForGrant
Indicates the justification, purpose, or cause for which a grant is awarded or provided.
-
C.
regulationReason
Indicates the reason or justification for which a regulation is established, applied, or enforced in relation to an entity or activity.
-
D.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
E.
reasonForHonorific
Indicates the reason, justification, or basis for which an honorific title or form of address is granted to or used for an entity.
- 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_69bd44704be88190acdb2ac481b0ff55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8e44e7c881909b241b2fec366038 |
completed | March 20, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69bd845097ac81909678624c4907fda4 |
completed | March 20, 2026, 5:30 p.m. |
| PDg | Predicate description generation | batch_69bd8e43c4c88190bb72b9bf56c99425 |
completed | March 20, 2026, 6:13 p.m. |
Created at: March 20, 2026, 1:53 p.m.