Triple
T1359772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2013 U.S. presidential inauguration of Barack Obama |
E29071
|
entity |
| Predicate | startOfTerm |
P18957
|
FINISHED |
| Object | second term of Barack Obama as President of the United States |
—
|
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 as President of the United States | Statement: [2013 U.S. presidential inauguration of Barack Obama, startOfTerm, second term of Barack Obama as President of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfTerm Context triple: [2013 U.S. presidential inauguration of Barack Obama, startOfTerm, second term of Barack Obama as President of the United States]
-
A.
startsAt
Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
-
B.
startDate
Indicates the point in time when an event, state, or relationship begins.
-
C.
startSeason
Indicates the point in time or event at which a particular season begins.
-
D.
reasonForEndOfTerm
Indicates the specific cause or circumstance that led to the termination or conclusion of a term, position, or period of service.
-
E.
timeInOfficeBeginsIn
chosen
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c290db288190910fcfa17e902663 |
completed | March 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69a4bef7700c819099b294e8d9320e70 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.