Triple
T35670758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nusantara |
E1030708
|
entity |
| Predicate | deputyAuthorityHead |
P111544
|
FINISHED |
| Object | Dhony Rahajoe |
—
|
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: Dhony Rahajoe | Statement: [Nusantara, deputyAuthorityHead, Dhony Rahajoe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deputyAuthorityHead Context triple: [Nusantara, deputyAuthorityHead, Dhony Rahajoe]
-
A.
deputyOf
Indicates that one entity serves as the subordinate or second-in-command to another, acting with delegated authority on their behalf.
-
B.
deputyExecutiveHeadTitle
Indicates the official job title held by a person serving as the deputy to an organization's executive head.
-
C.
deputyCommanderAgency
Indicates that one entity serves as the deputy commander within, or on behalf of, a specified agency.
-
D.
deputyMinister
Indicates that one entity serves as the deputy minister (second-in-command or subordinate minister) to another entity within a governmental or ministerial hierarchy.
-
E.
hasDeputyHeads
chosen
Indicates that an entity has one or more individuals serving in subordinate leadership roles as deputy heads.
- 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_69f76e0acfc0819082c8495c2210ce73 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79fb2069881908fe6b19f28d2fb81 |
completed | May 3, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.