Triple
T28884300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdul Gani Kasuba |
E732509
|
entity |
| Predicate | countryOfGovernedArea |
P118930
|
FINISHED |
| Object | Indonesia |
—
|
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: Indonesia | Statement: [Abdul Gani Kasuba, countryOfGovernedArea, Indonesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfGovernedArea Context triple: [Abdul Gani Kasuba, countryOfGovernedArea, Indonesia]
-
A.
governingBodyCountry
Indicates the country within whose jurisdiction or authority a governing body operates or to which it officially belongs.
-
B.
governedTerritory
Indicates that one entity exercises political authority or control over another entity or geographic area as its governing power.
-
C.
formerGoverningCountry
Indicates that one country previously held governing or colonial authority over another country or territory.
-
D.
countryOf
chosen
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
-
E.
groundingCountry
Indicates the country in which an entity is based, founded, or primarily established.
- 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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fec4cffed08190b5e5e7cc0c87493e |
completed | May 9, 2026, 5:23 a.m. |
| PD | Predicate disambiguation | batch_69fec2ea7fe08190bd751b39515f69d1 |
completed | May 9, 2026, 5:15 a.m. |
Created at: April 28, 2026, 7:48 a.m.