Triple
T4227885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 113th United States Congress |
E94503
|
entity |
| Predicate | spansPresidentialTerm |
P55437
|
FINISHED |
| Object | second term of Barack Obama |
—
|
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: second term of Barack Obama | Statement: [113th United States Congress, spansPresidentialTerm, second term of Barack Obama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spansPresidentialTerm Context triple: [113th United States Congress, spansPresidentialTerm, second term of Barack Obama]
-
A.
presidentialTerm
Indicates the period of time during which an individual officially serves as president of a country or organization.
-
B.
termCountAsPresident
Indicates the number of terms an individual has served in the role of president.
-
C.
termInOffice
Indicates the period during which an individual officially holds a particular office or position.
-
D.
endTimeOfPresidency
Indicates the specific time at which a person's term in the presidency concludes.
-
E.
electsTermLength
Indicates the length of time for which an entity is elected to hold a particular position or office.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e5003008190834726e46df3ee9b |
completed | March 12, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69b347f1d7b48190bd8974c03c7dc937 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e4ace648190acf911853d4fcf86 |
completed | March 12, 2026, 11:37 p.m. |
Created at: March 12, 2026, 11:04 p.m.