Triple
T24558988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indonesian people |
E607600
|
entity |
| Predicate | citizenshipLaw |
P51325
|
FINISHED |
| Object | Indonesian citizenship |
—
|
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: Indonesian citizenship | Statement: [Indonesian people, citizenshipLaw, Indonesian citizenship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipLaw Context triple: [Indonesian people, citizenshipLaw, Indonesian citizenship]
-
A.
leaderCitizenship
Indicates that a leader holds citizenship in, or is a national of, a particular country or political entity.
-
B.
citizenshipContext
chosen
Indicates the legal or social circumstances under which an entity holds or is granted citizenship in a particular state or jurisdiction.
-
C.
citizenshipIssue
Indicates that there is a problem, dispute, or complication concerning an entity’s citizenship status or rights.
-
D.
hasCitizenshipLawJurisdiction
Indicates that a specified jurisdiction holds legal authority over the creation, interpretation, or enforcement of citizenship laws for certain persons or entities.
-
E.
definedCitizenship
Indicates that a formal citizenship status has been legally established or specified for an entity.
- 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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f4af6481908576473adab9f6bf |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.