Triple
T12543540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfonso Oiterong |
E299900
|
entity |
| Predicate | servedAsPresidentIn |
P1384
|
FINISHED |
| Object | 1985 |
—
|
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: 1985 | Statement: [Alfonso Oiterong, servedAsPresidentIn, 1985]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedAsPresidentIn Context triple: [Alfonso Oiterong, servedAsPresidentIn, 1985]
-
A.
servedAsPresidentDuring
chosen
Indicates that a person held the office of president for the duration of a specified time period or event.
-
B.
precededByAsPresident
Indicates that one individual held the office of president immediately before another individual.
-
C.
presidentServedUnder
Indicates that one president held office during and was subordinate to the administration or tenure of another specified leader.
-
D.
hadMajorPresidency
Indicates that the subject held a primary or significant presidential office over the object entity (such as a country, organization, or institution).
-
E.
succeededByAsPresident
Indicates that one individual directly followed another in holding the office of president.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.