Triple
T32248763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Admission of Indonesia |
E823824
|
entity |
| Predicate | countryAdmitted |
P198284
|
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: [Admission of Indonesia, countryAdmitted, Indonesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryAdmitted Context triple: [Admission of Indonesia, countryAdmitted, Indonesia]
-
A.
countryAdmittedTo
chosen
Indicates that a country has been formally accepted or granted membership into a particular organization, group, or entity.
-
B.
countryAnnexedBy
Indicates that a country has been taken over and incorporated into the territory of another state through annexation.
-
C.
adoptedCountry
Indicates the country that an entity has chosen to reside in or align with as its new home, distinct from its place of origin.
-
D.
countryImplements
Indicates that a country puts into effect, enforces, or carries out a specific policy, law, agreement, standard, or measure.
-
E.
eligibleCountry
Indicates that a given country meets the required criteria or conditions to qualify for a specified program, action, or status.
- 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_69f3490cdda88190a9d61e11252a771f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0049e40d60819081e3899d8d9fca51 |
completed | May 10, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_6a0048c47b548190ad31b2901cc3784a |
completed | May 10, 2026, 8:58 a.m. |
Created at: May 1, 2026, 12:40 a.m.