Triple
T11193018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alberto Lleras Camargo |
E264848
|
entity |
| Predicate | inOfficeAsPresidentTo |
P8144
|
FINISHED |
| Object | 1946 |
—
|
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: 1946 | Statement: [Alberto Lleras Camargo, inOfficeAsPresidentTo, 1946]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inOfficeAsPresidentTo Context triple: [Alberto Lleras Camargo, inOfficeAsPresidentTo, 1946]
-
A.
officeStartForPresident
chosen
Indicates the date or point in time when a person begins serving in the role of president.
-
B.
servedAsPresidentDuring
Indicates that a person held the office of president for the duration of a specified time period or event.
-
C.
partOfPresidency
Indicates that an event, action, or role occurred during and within the scope of a specific individual's term in office as president.
-
D.
onlyPresident
Indicates that the subject is the sole individual holding the role of president within a given context or organization.
-
E.
oneOfTheGreatOfficesOfState
Indicates that the entity holds or pertains to one of the highest-ranking senior government positions traditionally recognized as the Great Offices of State.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8be025481909d311b587418dfb2 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf4461c8190af84060f7db83211 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.