Triple
T5283471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denpasar |
E119553
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | DK |
E67489
|
NE 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: DK | Statement: [Denpasar, vehicleRegistrationCode, DK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DK Context triple: [Denpasar, vehicleRegistrationCode, DK]
-
A.
DK
chosen
DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
-
B.
DK
DK is a British illustrated reference publisher best known for its highly visual nonfiction books for children and adults across topics like science, history, travel, and nature.
-
C.
DK
DK is an abbreviation for Danity Kane, an American girl group formed on the MTV reality show "Making the Band."
-
D.
DK
DK is the standard scholarly abbreviation for the Diels–Kranz collection of pre-Socratic Greek philosophical fragments.
-
E.
KD
KD is the widely used nickname of Kevin Durant, an elite NBA scorer and multi-time champion regarded as one of the greatest basketball players of his generation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84c8d2bc8190840699e5a526b756 |
completed | March 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06e6200881908da623e8548ec051 |
completed | March 21, 2026, 9 p.m. |
Created at: March 20, 2026, 1:52 p.m.