Triple
T10593807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luiz Inácio Lula da Silva |
E250057
|
entity |
| Predicate | endTimeInOffice (first presidential term) |
P32135
|
FINISHED |
| Object | 2006-12-31 |
—
|
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: 2006-12-31 | Statement: [Luiz Inácio Lula da Silva, endTimeInOffice (first presidential term), 2006-12-31]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeInOffice (first presidential term) Context triple: [Luiz Inácio Lula da Silva, endTimeInOffice (first presidential term), 2006-12-31]
-
A.
endTimeAsHeadOfPresidentialAdministration
Indicates the date and time when an individual’s tenure as head of the presidential administration comes to an end.
-
B.
presidentialTerm
Indicates the period of time during which an individual officially serves as president of a country or organization.
-
C.
endTimeOfPresidency
chosen
Indicates the specific time at which a person's term in the presidency concludes.
-
D.
officeStartTime (Vice President of the United States)
Indicates the date and time at which a person begins serving in the role of Vice President of the United States.
-
E.
numberOfTermInOffice
Indicates the specific ordinal count of how many terms an entity has served in a particular office or position.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5278bacd88190a50dedfa59b622fc |
completed | April 7, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69d5190a6dfc819088262957551808a1 |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:40 p.m.