Triple
T10506699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazilian Social Democracy Party |
E247804
|
entity |
| Predicate | numberOfPresidentsOfBrazil |
P16101
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Brazilian Social Democracy Party, numberOfPresidentsOfBrazil, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPresidentsOfBrazil Context triple: [Brazilian Social Democracy Party, numberOfPresidentsOfBrazil, 1]
-
A.
presidentOfBrazilAtTime
Indicates that a person holds the office of President of Brazil during a specified time period.
-
B.
numberOfPresidents
chosen
Indicates the total count of individuals who have held the position of president for a given entity or within a specified context.
-
C.
hasPresident
Indicates that an entity holds the position or role of president for another entity.
-
D.
notablePhilippinePresidents
Indicates that the subject is recognized as a particularly significant or distinguished president of the Philippines.
-
E.
numberOfHeadsOfStateAndGovernment
Indicates the total count of individuals serving as heads of state and/or heads of government for a given political entity.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b17cd88190b37e41b3ce2b4b16 |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb919ea08190bcc1193e2014d437 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:26 p.m.