Triple
T27139891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando de Araújo |
E681786
|
entity |
| Predicate | precededInOffice_actingPresident |
P10457
|
FINISHED |
| Object | José Ramos-Horta |
—
|
NE NERFINISHED |
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: José Ramos-Horta | Statement: [Fernando de Araújo, precededInOffice_actingPresident, José Ramos-Horta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededInOffice_actingPresident Context triple: [Fernando de Araújo, precededInOffice_actingPresident, José Ramos-Horta]
-
A.
leftOfficeAsActingPresident
Indicates that an individual ceased serving in the role of acting president, ending their temporary tenure in that office.
-
B.
precededAsVicePresidentBy
Indicates that one entity served as vice president immediately before another entity in a sequence of officeholders.
-
C.
presidentDuringVicePresidency
Indicates that one person served as president during the period when another person was serving as vice president.
-
D.
assumedOfficeAsInterimPresident
Indicates that an individual temporarily took on the role and responsibilities of president in an interim capacity.
-
E.
precededByAsPresident
chosen
Indicates that one individual held the office of president immediately before another individual.
- 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 9:08 a.m.