Triple
T20558009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joko Widodo |
E504771
|
entity |
| Predicate | positionPredecessorFor |
P97
|
FINISHED |
| Object | President of Indonesia |
—
|
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: President of Indonesia | Statement: [Joko Widodo, positionPredecessorFor, President of Indonesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionPredecessorFor Context triple: [Joko Widodo, positionPredecessorFor, President of Indonesia]
-
A.
predecessorLocatedAt
Indicates that the location specified was the place where the immediately preceding version, state, or instance of an entity was situated.
-
B.
predecessor
chosen
Indicates that one entity comes before another in an ordered sequence or succession.
-
C.
predecessorFunction
Indicates a function that maps each element to its immediate predecessor in an ordered sequence or structure.
-
D.
positionBefore
Indicates that one entity occurs or is arranged earlier in order or sequence than another entity.
-
E.
predecessorInSuit
Indicates that one item directly precedes another in an ordered sequence within the same suit or category.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5df84088190848c7eb35564d8f9 |
completed | April 20, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.