Triple
T12929769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natuna Islands |
E309343
|
entity |
| Predicate | adminDivisionType |
P15261
|
FINISHED |
| Object | regency |
—
|
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: regency | Statement: [Natuna Islands, adminDivisionType, regency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adminDivisionType Context triple: [Natuna Islands, adminDivisionType, regency]
-
A.
censusDivisionType
Indicates the classification of a census division according to its official administrative or statistical type.
-
B.
regionDivision
Indicates a hierarchical or organizational subdivision relationship where one region is partitioned into smaller constituent regions.
-
C.
typeOfDivision
chosen
Indicates the specific category or kind of division that characterizes how something is separated, organized, or partitioned.
-
D.
divisionTitle
Indicates the formal name or title assigned to a specific division within a larger organization or structure.
-
E.
typeOfDistrict
Indicates the specific category or classification to which a given district belongs.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97245b6408190816d9b7e314eb51a |
completed | April 10, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69d96fab4d0881909a7a4d66bab9aa85 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:42 p.m.