Triple
T35670758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nusantara |
E1030708
|
entity |
| Predicate | deputyAuthorityHead |
P111544
|
FINISHED |
| Object |
Dhony Rahajoe
Dhony Rahajoe is an Indonesian official serving in a top leadership role in the development and administration of the new capital city, Nusantara.
|
E2151784
|
NE FINISHED |
How this triple was built (3 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]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dhony Rahajoe Triple: [Nusantara, deputyAuthorityHead, Dhony Rahajoe]
Generated description
Dhony Rahajoe is an Indonesian official serving in a top leadership role in the development and administration of the new capital city, Nusantara.
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 (6 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a387283403481909b75d52cd32abc29 |
completed | June 21, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_6a387348579c81909fd91162bbf8792c |
completed | June 21, 2026, 11:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a38744cbac081908be126066e8e79e5 |
completed | June 21, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.